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accident</title> <meta name="description" content="Search results for: fatal accident"> <meta name="keywords" content="fatal accident"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="fatal accident"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 561</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: fatal accident</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">561</span> Fatal Road Accident Causer's Driving Aptitude in Hungary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Juh%C3%A1sz">A. Juhász</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Fogarasi"> M. Fogarasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Those causing fatal traffic accidents are traumatized, which negatively influences their cognitive functions and their personality. In order to clarify how much the trauma of causing a fatal accident effects their driving skills and personality traits, the results of a psychological aptitude and a personality test of drivers carelessly causing fatal accidents and of drivers not causing any accidents were compared separately. The sample (N = 354) consists of randomly selected drivers from the Transportation Aptitude and Examination Centre database who caused fatal accidents (Fatal group, n = 177) or did not cause accidents (Control group, n = 177). The aptitude tests were taken between 2014 and 2019. The comparison of the 2 groups was done according to 3 aspects: 1. Categories of aptitude (suitable, restricted, unsuited); 2. Categories of causes (ability, personality, ability and personality) within the restricted or unsuited (altogether: non-suitable subgroups); 3. Categories of ability and personality within the non-suitable subgroups regardless of the cause-category. Within ability deficiency, the two groups include those, whose ability factor is impaired or limited. This is also true in case of personality failure. Compared to the control group, the number of restricted drivers causing fatal accidents is significantly higher (p < .000) and the number of unsuited drivers is higher on a tendency-level (p = .06). Compared to the control group in the fatal non-suitable subgroup, the ratio of restricted suitability and the unsuitability due to ability factors is exclusively significantly lower (p < .000). The restricted suitability and the unsuitability due to personality factors are more significant in the fatal non-suitable subgroup (p < .000). Incapacity due to combination of ability and personality is also significantly higher in the fatal group (p = .002). Compared to the control group both ability and personality factors are also significantly higher in the fatal non-suitable subgroup (p < .000). Overall, the control group is more eligible for driving than drivers who have caused fatalities. The ability and personality factors are significantly higher in the case of fatal accident causers who are non-suitable for driving. Moreover the concomitance of ability and personality factors occur almost exclusively to drivers who caused fatal accidents. Further investigation is needed to understand the causes and how the aptitude test results for the fatal group could improve over time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aptitude" title="aptitude">aptitude</a>, <a href="https://publications.waset.org/abstracts/search?q=unsuited" title=" unsuited"> unsuited</a>, <a href="https://publications.waset.org/abstracts/search?q=fatal%20accident" title=" fatal accident"> fatal accident</a>, <a href="https://publications.waset.org/abstracts/search?q=ability" title=" ability"> ability</a>, <a href="https://publications.waset.org/abstracts/search?q=personality" title=" personality"> personality</a> </p> <a href="https://publications.waset.org/abstracts/121875/fatal-road-accident-causers-driving-aptitude-in-hungary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121875.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">560</span> Eliminating Injury in the Work Place and Realizing Vision Zero Using Accident Investigation and Analysis as Method: A Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ramesh%20Kumar%20Behera">Ramesh Kumar Behera</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Izhar%20Hassan"> Md. Izhar Hassan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accident investigation and analysis are useful to identify deficiencies in plant, process, and management practices and formulate preventive strategies for injury elimination. In India and other parts of the world, industrial accidents are investigated to know the causes and also to fulfill legal compliances. However, findings of investigation are seldom used appropriately to strengthen Occupational Safety and Health (OSH) in expected lines. The mineral rich state of Odisha in eastern coast of India; known as a hub for Iron and Steel industries, witnessed frequent accidents during 2005-2009. This article based on study of 982 fatal ‘factory-accidents’ occurred in Odisha during the period 2001-2016, discusses the ‘turnaround-story’ resulting in reduction of fatal accident from 122 in 2009 to 45 in 2016. This paper examines various factors causing incidents; accident pattern in steel and chemical sector; role of climate and harsh weather conditions on accident causation. Software such as R, SQL, MS-Excel and Tableau were used for analysis of data. It is found that maximum fatality is caused due to ‘fall from height’ (24%); steel industries are relatively more accident prone; harsh weather conditions of summer increase chances of accident by 20%. Further, the study suggests that enforcement of partial work-restriction around lunch time during peak summer, screening and training of employees reduce accidents due to fall from height. The study indicates that learning from accident investigation and analysis can be used as a method to reduce work related accidents in the journey towards ‘Vision Zero’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20investigation%20and%20analysis" title="accident investigation and analysis">accident investigation and analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=fatal%20accidents%20in%20India" title=" fatal accidents in India"> fatal accidents in India</a>, <a href="https://publications.waset.org/abstracts/search?q=fall%20from%20height" title=" fall from height"> fall from height</a>, <a href="https://publications.waset.org/abstracts/search?q=vision%20zero" title=" vision zero"> vision zero</a> </p> <a href="https://publications.waset.org/abstracts/96134/eliminating-injury-in-the-work-place-and-realizing-vision-zero-using-accident-investigation-and-analysis-as-method-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96134.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">154</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">559</span> Factors Associated with Fatal and Non-Fatal Accidents of Commercial Aviation Fixed-Wing Aircraft in Indonesia (2007-2018)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adre%20Dwi%20Wiratama">Adre Dwi Wiratama</a>, <a href="https://publications.waset.org/abstracts/search?q=Budi%20Sampurna"> Budi Sampurna</a>, <a href="https://publications.waset.org/abstracts/search?q=Syougie%20Ali"> Syougie Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Djunadi"> Djunadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Even though safety is a priority in Commercial Aviation (CA) operations, fatal fixed-wing aircraft accidents still occur frequently in Indonesia. Objective: This research aims to determine factors associated with fatal and non-fatal CA fixed-wing aircraft accidents in Indonesia. Methods: The research used a cross-sectional design, which was carried out in July 2023. It included all final reports on fixed-wing aircraft accidents published by the Indonesian National Transportation Safety Committee (KNKT). Analysis was conducted using chi-square and Fisher’s exact test methods using IBM SPSS software version 29.0. Results: Out of 52 final reports, 25 were fatal. The study found that factors associated with a higher risk of fatal accidents are pilots in command with CPL, unpressurized aircraft, single-engine aircraft, aircraft with MTOW less than 5,700kg, accidents occurring at weekends, accidents occurring outside of airport premises, CFIT occurrences, and the cruise phase of flight. The factor associated with non-fatal accidents is the landing phase. Conclusion: Efforts such as enhancing pilot training and certification processes, implementing stricter safety regulations for small, unpressurized, single-engine aircraft, and increasing safety measures during weekends and specific phases of flight can reduce future fatal accidents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fatal%20accident" title="fatal accident">fatal accident</a>, <a href="https://publications.waset.org/abstracts/search?q=fixed-wing%20aircraft" title=" fixed-wing aircraft"> fixed-wing aircraft</a>, <a href="https://publications.waset.org/abstracts/search?q=commercial%20aviation" title=" commercial aviation"> commercial aviation</a> </p> <a href="https://publications.waset.org/abstracts/193251/factors-associated-with-fatal-and-non-fatal-accidents-of-commercial-aviation-fixed-wing-aircraft-in-indonesia-2007-2018" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193251.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">7</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">558</span> Formulation and Test of a Model to explain the Complexity of Road Accident Events in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dimakatso%20Machetele">Dimakatso Machetele</a>, <a href="https://publications.waset.org/abstracts/search?q=Kowiyou%20Yessoufou"> Kowiyou Yessoufou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Whilst several studies indicated that road accident events might be more complex than thought, we have a limited scientific understanding of this complexity in South Africa. The present project proposes and tests a more comprehensive metamodel that integrates multiple causality relationships among variables previously linked to road accidents. This was done by fitting a structural equation model (SEM) to the data collected from various sources. The study also fitted the GARCH Model (Generalized Auto-Regressive Conditional Heteroskedasticity) to predict the future of road accidents in the country. The analysis shows that the number of road accidents has been increasing since 1935. The road fatality rate follows a polynomial shape following the equation: y = -0.0114x²+1.2378x-2.2627 (R²=0.76) with y = death rate and x = year. This trend results in an average death rate of 23.14 deaths per 100,000 people. Furthermore, the analysis shows that the number of crashes could be significantly explained by the total number of vehicles (P < 0.001), number of registered vehicles (P < 0.001), number of unregistered vehicles (P = 0.003) and the population of the country (P < 0.001). As opposed to expectation, the number of driver licenses issued and total distance traveled by vehicles do not correlate significantly with the number of crashes (P > 0.05). Furthermore, the analysis reveals that the number of casualties could be linked significantly to the number of registered vehicles (P < 0.001) and total distance traveled by vehicles (P = 0.03). As for the number of fatal crashes, the analysis reveals that the total number of vehicles (P < 0.001), number of registered (P < 0.001) and unregistered vehicles (P < 0.001), the population of the country (P < 0.001) and the total distance traveled by vehicles (P < 0.001) correlate significantly with the number of fatal crashes. However, the number of casualties and again the number of driver licenses do not seem to determine the number of fatal crashes (P > 0.05). Finally, the number of crashes is predicted to be roughly constant overtime at 617,253 accidents for the next 10 years, with the worse scenario suggesting that this number may reach 1 896 667. The number of casualties was also predicted to be roughly constant at 93 531 overtime, although this number may reach 661 531 in the worst-case scenario. However, although the number of fatal crashes may decrease over time, it is forecasted to reach 11 241 fatal crashes within the next 10 years, with the worse scenario estimated at 19 034 within the same period. Finally, the number of fatalities is also predicted to be roughly constant at 14 739 but may also reach 172 784 in the worse scenario. Overall, the present study reveals the complexity of road accidents and allows us to propose several recommendations aimed to reduce the trend of road accidents, casualties, fatal crashes, and death in South Africa. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20accidents" title="road accidents">road accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20modelling" title=" statistical modelling"> statistical modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=trends" title=" trends"> trends</a> </p> <a href="https://publications.waset.org/abstracts/133805/formulation-and-test-of-a-model-to-explain-the-complexity-of-road-accident-events-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133805.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">557</span> Assessment of the Impact of Traffic Safety Policy in Barcelona, 2010-2019</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Llu%C3%ADs%20Berm%C3%BAdez">Lluís Bermúdez</a>, <a href="https://publications.waset.org/abstracts/search?q=Isabel%20%20Morillo"> Isabel Morillo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road safety involves carrying out a determined and explicit policy to reduce accidents. In the city of Barcelona, through the Local Road Safety Plan 2013-2018, in line with the framework that has been established at the European and state level, a series of preventive, corrective and technical measures are specified, with the priority objective of reducing the number of serious injuries and fatalities. In this work, based on the data from the accidents managed by the local police during the period 2010-2019, an analysis is carried out to verify whether the measures established in the Plan to reduce the accident rate have had an effect or not and to what extent. The analysis focuses on the type of accident and the type of vehicles involved. Different count regression models have been fitted, from which it can be deduced that the number of serious and fatal victims of the accidents that have occurred in the city of Barcelona has been reduced as the measures approved by the authorities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20reduction" title="accident reduction">accident reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=count%20regression%20models" title=" count regression models"> count regression models</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20traffic" title=" urban traffic"> urban traffic</a> </p> <a href="https://publications.waset.org/abstracts/148201/assessment-of-the-impact-of-traffic-safety-policy-in-barcelona-2010-2019" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148201.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">133</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">556</span> Applying Pre-Accident Observational Methods for Accident Assessment and Prediction at Intersections in Norrkoping City in Sweden</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghazwan%20Al-Haji">Ghazwan Al-Haji</a>, <a href="https://publications.waset.org/abstracts/search?q=Adeyemi%20Adedokun"> Adeyemi Adedokun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic safety at intersections is highly represented, given the fact that accidents occur randomly in time and space. It is necessary to judge whether the intersection is dangerous or not based on short-term observations, and not waiting for many years of assessing historical accident data. There are active and pro-active road infrastructure safety methods for assessing safety at intersections. This study aims to investigate the use of quantitative and qualitative pre-observational methods as the best practice for accident prediction, future black spot identification, and treatment. Historical accident data from STRADA (the Swedish Traffic Accident Data Acquisition) was used within Norrkoping city in Sweden. The ADT (Average Daily Traffic), capacity and speed were used to predict accident rates. Locations with the highest accident records and predicted accident counts were identified and hence audited qualitatively by using Street Audit. The results from these quantitative and qualitative methods were analyzed, validated and compared. The paper provides recommendations on the used methods as well as on how to reduce the accident occurrence at the chosen intersections. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intersections" title="intersections">intersections</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20conflict" title=" traffic conflict"> traffic conflict</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20safety" title=" traffic safety"> traffic safety</a>, <a href="https://publications.waset.org/abstracts/search?q=street%20audit" title=" street audit"> street audit</a>, <a href="https://publications.waset.org/abstracts/search?q=accidents%20predictions" title=" accidents predictions"> accidents predictions</a> </p> <a href="https://publications.waset.org/abstracts/75125/applying-pre-accident-observational-methods-for-accident-assessment-and-prediction-at-intersections-in-norrkoping-city-in-sweden" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75125.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">555</span> A Comprehensive Analysis of Factors Leading to Fatal Road Accidents in France and Its Overseas Territories</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bouthayna%20Hayou">Bouthayna Hayou</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Mouloud%20Haddak"> Mohamed Mouloud Haddak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In road accidents in French overseas territories have been understudied, with relevant data often collected late and incompletely. Although these territories account for only 3% to 4% of road traffic injuries in France, their unique characteristics merit closer attention. Despite lower mobility and, consequently, lower exposure to road risks, the actual road risk in Overseas France is as high or even higher than in Metropolitan France. Significant disparities exist not only between Metropolitan France and Overseas territories but also among the overseas territories themselves. The varying population densities in these regions do not fully explain these differences, as each territory has its own distinct vulnerabilities and road safety challenges. This analysis, based on BAAC data files from 2005 to 2018 for both Metropolitan France and the overseas departments and regions, examines key variables such as gender, age, type of road user, type of obstacle hit, type of trip, road category, traffic conditions, weather, and location of accidents. Logistic regression models were built for each region to investigate the risk factors associated with fatal road accidents, focusing on the probability of being killed versus injured. Due to insufficient data, Mayotte and the Overseas Communities (French Polynesia and New Caledonia) were not included in the models. The findings reveal that road safety is worse in the overseas territories compared to Metropolitan France, particularly for vulnerable road users such as pedestrians and motorized two-wheelers. These territories present an accident profile that sits between that of Metropolitan France and middle-income countries. A pressing need exists to standardize accident data collection between Metropolitan and Overseas France to allow for more detailed comparative analyses. Further epidemiological studies could help identify the specific road safety issues unique to each territory, particularly with regard to socio-economic factors such as social cohesion, which may influence road safety outcomes. Moreover, the lack of data on new modes of travel, such as electric scooters, and the absence of socio-economic details of accident victims complicate the evaluation of emerging risk factors. Additional research, including sociological and psychosocial studies, is essential for understanding road users' behavior and perceptions of road risk, which could also provide valuable insights into accident trends in peri-urban areas in France. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multivariate%20logistic%20regression" title="multivariate logistic regression">multivariate logistic regression</a>, <a href="https://publications.waset.org/abstracts/search?q=overseas%20France" title=" overseas France"> overseas France</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20traffic%20accident" title=" road traffic accident"> road traffic accident</a>, <a href="https://publications.waset.org/abstracts/search?q=territorial%20inequalities" title=" territorial inequalities"> territorial inequalities</a> </p> <a href="https://publications.waset.org/abstracts/192152/a-comprehensive-analysis-of-factors-leading-to-fatal-road-accidents-in-france-and-its-overseas-territories" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192152.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">10</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">554</span> Calculating Collision Risk Exposures and Risk Probabilities at Container Terminals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Ali%20Hasanzadeh">Mohammad Ali Hasanzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Thierry%20Vanelslander"> Thierry Vanelslander</a>, <a href="https://publications.waset.org/abstracts/search?q=Eddy%20Van%20De%20Voorde"> Eddy Van De Voorde</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays maritime transport is a key element in international trade and global supply chain. Economies of scale in transporting goods are one of the most attractive elements of using ships. Without maritime transport, almost no globalization of economics can be imagined. Within maritime transport, ports are the interface between lands and see. Even though using ships help cargo owners to have a competitive margin but an accident in port during loading or unloading or even moving cargoes within the terminal can diminish such margin. Statistics shows that due to the high-speed notion of activities within ports, collision accidents are the most common type of accidents. To mitigate such accidents, the appropriate risk exposures have to be defined and calculate, later on risk probabilities can be determined for each type of accident, i.e. fatal, severe, moderate and minor ones. Having such risk probabilities help managers to define the effectiveness of each collision risk control option. This research defined travelled distance as main collision risk exposure in container terminals, taking all the related items into consideration, it was calculated for Shahid Rajae container terminals. Following this finding, collision risk probabilities were computed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collision%20accident" title="collision accident">collision accident</a>, <a href="https://publications.waset.org/abstracts/search?q=container%20terminal" title=" container terminal"> container terminal</a>, <a href="https://publications.waset.org/abstracts/search?q=maritime%20transport" title=" maritime transport"> maritime transport</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20exposure" title=" risk exposure"> risk exposure</a> </p> <a href="https://publications.waset.org/abstracts/33484/calculating-collision-risk-exposures-and-risk-probabilities-at-container-terminals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33484.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">553</span> Location Detection of Vehicular Accident Using Global Navigation Satellite Systems/Inertial Measurement Units Navigator </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neda%20Navidi">Neda Navidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rene%20Jr.%20Landry"> Rene Jr. Landry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicle tracking and accident recognizing are considered by many industries like insurance and vehicle rental companies. The main goal of this paper is to detect the location of a car accident by combining different methods. The methods, which are considered in this paper, are Global Navigation Satellite Systems/Inertial Measurement Units (GNSS/IMU)-based navigation and vehicle accident detection algorithms. They are expressed by a set of raw measurements, which are obtained from a designed integrator black box using GNSS and inertial sensors. Another concern of this paper is the definition of accident detection algorithm based on its jerk to identify the position of that accident. In fact, the results convinced us that, even in GNSS blockage areas, the position of the accident could be detected by GNSS/INS integration with 50% improvement compared to GNSS stand alone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver%20behavior%20monitoring" title="driver behavior monitoring">driver behavior monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=integration" title=" integration"> integration</a>, <a href="https://publications.waset.org/abstracts/search?q=IMU" title=" IMU"> IMU</a>, <a href="https://publications.waset.org/abstracts/search?q=GNSS" title=" GNSS"> GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking" title=" tracking"> tracking</a> </p> <a href="https://publications.waset.org/abstracts/72798/location-detection-of-vehicular-accident-using-global-navigation-satellite-systemsinertial-measurement-units-navigator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72798.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">234</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">552</span> Railway Accidents: Using the Global Railway Accident Database and Evaluation for Risk Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mathias%20Linden">Mathias Linden</a>, <a href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Schneider"> André Schneider</a>, <a href="https://publications.waset.org/abstracts/search?q=Harald%20F.%20O.%20von%20Korflesch"> Harald F. O. von Korflesch</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The risk of train accidents is an ongoing concern for railway organizations, governments, insurance companies and other depended sectors. Safety technologies are installed to reduce and to prevent potential damages of train accidents. Since the budgetary for the safety of railway organizations is limited, it is necessary not only to achieve a high availability and high safety standard but also to be cost effective. Therefore, an economic assessment of safety technologies is fundamental to create an accurate risk analysis. In order to conduct an economical assessment of a railway safety technology and a quantification of the costs of the accident causes, the Global Railway Accident Database & Evaluation (GRADE) has been developed. The aim of this paper is to describe the structure of this accident database and to show how it can be used for risk analyses. A number of risk analysis methods, such as the probabilistic safety assessment method (PSA), was used to demonstrate this accident database’s different possibilities of risk analysis. In conclusion, it can be noted that these analyses would not be as accurate without GRADE. The information gathered in the accident database was not available in this way before. Our findings are relevant for railway operators, safety technology suppliers, assurances, governments and other concerned railway organizations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20causes" title="accident causes">accident causes</a>, <a href="https://publications.waset.org/abstracts/search?q=accident%20costs" title=" accident costs"> accident costs</a>, <a href="https://publications.waset.org/abstracts/search?q=accident%20database" title=" accident database"> accident database</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20railway%20accident%20database%20%26%20evaluation" title=" global railway accident database & evaluation"> global railway accident database & evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=GRADE" title=" GRADE"> GRADE</a>, <a href="https://publications.waset.org/abstracts/search?q=probabilistic%20safety%20assessment" title=" probabilistic safety assessment"> probabilistic safety assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=PSA" title=" PSA"> PSA</a>, <a href="https://publications.waset.org/abstracts/search?q=railway%20accidents" title=" railway accidents"> railway accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a> </p> <a href="https://publications.waset.org/abstracts/68572/railway-accidents-using-the-global-railway-accident-database-and-evaluation-for-risk-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68572.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">359</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">551</span> Assessment of Human Factors Analysis and Classification System in Construction Accident Prevention</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zakari%20Mustapha">Zakari Mustapha</a>, <a href="https://publications.waset.org/abstracts/search?q=Clinton%20%20Aigbavboa"> Clinton Aigbavboa</a>, <a href="https://publications.waset.org/abstracts/search?q=Wellington%20Didi%20Thwala"> Wellington Didi Thwala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Majority of the incidents and accidents in complex high-risk systems that exist in the construction industry and other sectors have been attributed to unsafe acts of workers. The purpose of this paper was to asses Human Factors Analysis and Classification System (HFACS) in construction accident prevention. The study was conducted through the use of secondary data from journals, books and internet to achieve the objective of the study. The review of literature looked into details of different views from different scholars about HFACS framework in accidents investigations. It further highlighted on various sections or disciplines of accident occurrences in human performance within the construction. The findings from literature review showed that unsafe acts of a worker and unsafe working conditions are the two major causes of accident in the construction industry.Most significant factor in the cause of site accident in the construction industry is unsafe acts of a worker. The findings also show how the application of HFACS framework in the investigation of accident will lead to the identification of common trends. Further findings show that provision for the prevention of accident will be made based on past accident records to identify and prioritize where intervention is needed within the construction industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident" title="accident">accident</a>, <a href="https://publications.waset.org/abstracts/search?q=construction" title=" construction"> construction</a>, <a href="https://publications.waset.org/abstracts/search?q=HFACS" title=" HFACS"> HFACS</a>, <a href="https://publications.waset.org/abstracts/search?q=unsafe%20acts" title=" unsafe acts"> unsafe acts</a> </p> <a href="https://publications.waset.org/abstracts/51509/assessment-of-human-factors-analysis-and-classification-system-in-construction-accident-prevention" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51509.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">550</span> Presenting a Model for Predicting the State of Being Accident-Prone of Passages According to Neural Network and Spatial Data Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamd%20Rezaeifar">Hamd Rezaeifar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Reza%20Sahriari"> Hamid Reza Sahriari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accidents are considered to be one of the challenges of modern life. Due to the fact that the victims of this problem and also internal transportations are getting increased day by day in Iran, studying effective factors of accidents and identifying suitable models and parameters about this issue are absolutely essential. The main purpose of this research has been studying the factors and spatial data affecting accidents of Mashhad during 2007- 2008. In this paper it has been attempted to – through matching spatial layers on each other and finally by elaborating them with the place of accident – at the first step by adding landmarks of the accident and through adding especial fields regarding the existence or non-existence of effective phenomenon on accident, existing information banks of the accidents be completed and in the next step by means of data mining tools and analyzing by neural network, the relationship between these data be evaluated and a logical model be designed for predicting accident-prone spots with minimum error. The model of this article has a very accurate prediction in low-accident spots; yet it has more errors in accident-prone regions due to lack of primary data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident" title="accident">accident</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a> </p> <a href="https://publications.waset.org/abstracts/185355/presenting-a-model-for-predicting-the-state-of-being-accident-prone-of-passages-according-to-neural-network-and-spatial-data-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185355.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">47</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">549</span> The Influence of Trait of Personality, Stress and Driver Behavior on Road Accident among Bas Driver in Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fikri">Fikri</a>, <a href="https://publications.waset.org/abstracts/search?q=Rozmi%20Ismail"> Rozmi Ismail</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatimah%20Wati%20Halim"> Fatimah Wati Halim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Waheeda"> Sarah Waheeda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this research is to investigate the influence of personality and driver behavior on road accident among bus driver who have the high risk behavior on road accident in Riau Province. The hypotheses proposed this research is there are has a significant influences of Treat of Personality and Driver Behavior among bus driver in Riau Province Indonesia. Subject participated in this research are 100 bus driver in Riau Province. This study using the purposive random sampling technique and quantitative design. The data is collected using the Big Five Personality questionnaires, Driver Behavior questionnaires and Road Accident Inventory. Research found that there are significant influence of personality and driver behavior on road accident among bus driver in Riau Province Indonesia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personality" title="personality">personality</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20behavior" title=" driver behavior"> driver behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20stress" title=" driver stress"> driver stress</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20accident" title=" road accident"> road accident</a> </p> <a href="https://publications.waset.org/abstracts/14832/the-influence-of-trait-of-personality-stress-and-driver-behavior-on-road-accident-among-bas-driver-in-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14832.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">484</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">548</span> A Rare Neck Trauma by Bicycle Handlebar in Road Traffic Accident</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Parthasarathi%20Pramanik">Parthasarathi Pramanik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Paediatric blunt abdominal trauma associated with superficial bruise, hematoma, or laceration and internal organ damage secondary to bicycle handlebar is widely documented in the literature. In this article, we have presented a case of bicycle handlebar inflicted fatal neck laceration in a road accident. The deceased sustained a horizontally placed laceration injury over the front and both sides of the middle third of neck (13 cm x 5-8 cm x 2-3.5 cm).The margins of the wound were irregular and focally abraded. The right corner of the injury was pointed whereas the left one was ended with a skin flap. Multiple graze abrasions, contusions and lacerations were found on different parts of body. Autopsy findings and other circumstantial evidences revealed that the victim died due to exsanguination because of severance of carotid artery and jugular vein of both sides. Analysis of the wound suggests the decease sustained the wound by the revolving bicycle handle bar while he had lost the balance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bicycle%20handle%20bar" title="bicycle handle bar">bicycle handle bar</a>, <a href="https://publications.waset.org/abstracts/search?q=neck%20injury" title=" neck injury"> neck injury</a>, <a href="https://publications.waset.org/abstracts/search?q=lacerated%20injury" title=" lacerated injury"> lacerated injury</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20acident" title=" road acident"> road acident</a> </p> <a href="https://publications.waset.org/abstracts/54465/a-rare-neck-trauma-by-bicycle-handlebar-in-road-traffic-accident" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54465.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">317</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">547</span> The Development of an Accident Causation Model Specific to Agriculture: The Irish Farm Accident Causation Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carolyn%20Scott">Carolyn Scott</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachel%20Nugent"> Rachel Nugent</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The agricultural industry in Ireland and worldwide is one of the most dangerous occupations with respect to occupational health and safety accidents and fatalities. Many accident causation models have been developed in safety research to understand the underlying and contributory factors that lead to the occurrence of an accident. Due to the uniqueness of the agricultural sector, current accident causation theories cannot be applied. This paper presents an accident causation model named the Irish Farm Accident Causation Model (IFACM) which has been specifically tailored to the needs of Irish farms. The IFACM is a theoretical and practical model of accident causation that arranges the causal factors into a graphic representation of originating, shaping, and contributory factors that lead to accidents when unsafe acts and conditions are created that are not rectified by control measures. Causes of farm accidents were assimilated by means of a thorough literature review and were collated to form a graphical representation of the underlying causes of a farm accident. The IFACM was validated retrospectively through case study analysis and peer review. Participants in the case study (n=10) identified causes that led to a farm accident in which they were involved. A root cause analysis was conducted to understand the contributory factors surrounding the farm accident, traced back to the ‘root cause’. Experts relevant to farm safety accident causation in the agricultural industry have peer reviewed the IFACM. The accident causation process is complex. Accident prevention requires a comprehensive understanding of this complex process because to prevent the occurrence of accidents, the causes of accidents must be known. There is little research on the key causes and contributory factors of unsafe behaviours and accidents on Irish farms. The focus of this research is to gain a deep understanding of the causality of accidents on Irish farms. The results suggest that the IFACM framework is helpful for the analysis of the causes of accidents within the agricultural industry in Ireland. The research also suggests that there may be international applicability if further research is carried out. Furthermore, significant learning can be obtained from considering the underlying causes of accidents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=farm%20safety" title="farm safety">farm safety</a>, <a href="https://publications.waset.org/abstracts/search?q=farm%20accidents" title=" farm accidents"> farm accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=accident%20causation" title=" accident causation"> accident causation</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20cause%20analysis" title=" root cause analysis"> root cause analysis</a> </p> <a href="https://publications.waset.org/abstracts/156592/the-development-of-an-accident-causation-model-specific-to-agriculture-the-irish-farm-accident-causation-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156592.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">546</span> Development of a Multi-Factorial Instrument for Accident Analysis Based on Systemic Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20V.%20Pietreanu">C. V. Pietreanu</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20E.%20Zaharia"> S. E. Zaharia</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Dinu"> C. Dinu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present research is built on three major pillars, commencing by making some considerations on accident investigation methods and pointing out both defining aspects and differences between linear and non-linear analysis. The traditional linear focus on accident analysis describes accidents as a sequence of events, while the latest systemic models outline interdependencies between different factors and define the processes evolution related to a specific (normal) situation. Linear and non-linear accident analysis methods have specific limitations, so the second point of interest is mirrored by the aim to discover the drawbacks of systemic models which becomes a starting point for developing new directions to identify risks or data closer to the cause of incidents/accidents. Since communication represents a critical issue in the interaction of human factor and has been proved to be the answer of the problems made by possible breakdowns in different communication procedures, from this focus point, on the third pylon a new error-modeling instrument suitable for risk assessment/accident analysis will be elaborated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20analysis" title="accident analysis">accident analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-factorial%20error%20modeling" title=" multi-factorial error modeling"> multi-factorial error modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=systemic%20methods" title=" systemic methods"> systemic methods</a> </p> <a href="https://publications.waset.org/abstracts/86627/development-of-a-multi-factorial-instrument-for-accident-analysis-based-on-systemic-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86627.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">545</span> A Study on Accident Result Contribution of Individual Major Variables Using Multi-Body System of Accident Reconstruction Program</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Donghun%20Jeong">Donghun Jeong</a>, <a href="https://publications.waset.org/abstracts/search?q=Somyoung%20Shin"> Somyoung Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yeoil%20Yun"> Yeoil Yun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A large-scale traffic accident refers to an accident in which more than three people die or more than thirty people are dead or injured. In order to prevent a large-scale traffic accident from causing a big loss of lives or establish effective improvement measures, it is important to analyze accident situations in-depth and understand the effects of major accident variables on an accident. This study aims to analyze the contribution of individual accident variables to accident results, based on the accurate reconstruction of traffic accidents using PC-Crash’s Multi-Body, which is an accident reconstruction program, and simulation of each scenario. Multi-Body system of PC-Crash accident reconstruction program is used for multi-body accident reconstruction that shows motions in diverse directions that were not approached previously. MB System is to design and reproduce a form of body, which shows realistic motions, using several bodies. Targeting the 'freight truck cargo drop accident around the Changwon Tunnel' that happened in November 2017, this study conducted a simulation of the freight truck cargo drop accident and analyzed the contribution of individual accident majors. Then on the basis of the driving speed, cargo load, and stacking method, six scenarios were devised. The simulation analysis result displayed that the freight car was driven at a speed of 118km/h(speed limit: 70km/h) right before the accident, carried 196 oil containers with a weight of 7,880kg (maximum load: 4,600kg) and was not fully equipped with anchoring equipment that could prevent a drop of cargo. The vehicle speed, cargo load, and cargo anchoring equipment were major accident variables, and the accident contribution analysis results of individual variables are as follows. When the freight car only obeyed the speed limit, the scattering distance of oil containers decreased by 15%, and the number of dropped oil containers decreased by 39%. When the freight car only obeyed the cargo load, the scattering distance of oil containers decreased by 5%, and the number of dropped oil containers decreased by 34%. When the freight car obeyed both the speed limit and cargo load, the scattering distance of oil containers fell by 38%, and the number of dropped oil containers fell by 64%. The analysis result of each scenario revealed that the overspeed and excessive cargo load of the freight car contributed to the dispersion of accident damage; in the case of a truck, which did not allow a fall of cargo, there was a different type of accident when driven too fast and carrying excessive cargo load, and when the freight car obeyed the speed limit and cargo load, there was the lowest possibility of causing an accident. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20reconstruction" title="accident reconstruction">accident reconstruction</a>, <a href="https://publications.waset.org/abstracts/search?q=large-scale%20traffic%20accident" title=" large-scale traffic accident"> large-scale traffic accident</a>, <a href="https://publications.waset.org/abstracts/search?q=PC-Crash" title=" PC-Crash"> PC-Crash</a>, <a href="https://publications.waset.org/abstracts/search?q=MB%20system" title=" MB system"> MB system</a> </p> <a href="https://publications.waset.org/abstracts/139043/a-study-on-accident-result-contribution-of-individual-major-variables-using-multi-body-system-of-accident-reconstruction-program" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139043.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">544</span> A Review of Literature on Theories of Construction Accident Causation Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Opeyemi%20Williams">Samuel Opeyemi Williams</a>, <a href="https://publications.waset.org/abstracts/search?q=Razali%20Bin%20Adul%20Hamid"> Razali Bin Adul Hamid</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20S.%20Misnan"> M. S. Misnan</a>, <a href="https://publications.waset.org/abstracts/search?q=Taki%20Eddine%20Seghier"> Taki Eddine Seghier</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20I.%20Ajayi"> D. I. Ajayi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Construction sites are characterized with occupational risks. Review of literature on construction accidents reveals that a lot of theories have been propounded over the years by different theorists, coupled with multifarious models developed by different proponents at different times. Accidents are unplanned events that are prominent in construction sites, involving materials, objects and people with attendant damages, loses and injuries. Models were developed to investigate the causations of accident with the aim of preventing its occurrence. Though, some of these theories were criticized, most especially, the Heinrich Domino theory, being mostly faulted for placing much blame on operatives rather than the management. The purpose of this paper is to unravel the significant construction accident causation theories and models for the benefit of understanding of the theories, and consequently enabling construction stakeholders identify the possible potential hazards on construction sites, as all stakeholders have significant roles to play in preventing accident. Accidents are preventable; hence, understanding the risk factors of accident and the causation theories paves way for its prevention. However, findings reveal that still some gaps missing in the existing models, while it is recommended that further research can be made in order to develop more models in order to maintain zero accident on construction sites. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=domino%20theory" title="domino theory">domino theory</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20site" title=" construction site"> construction site</a>, <a href="https://publications.waset.org/abstracts/search?q=site%20safety" title=" site safety"> site safety</a>, <a href="https://publications.waset.org/abstracts/search?q=accident%20causation%20model" title=" accident causation model"> accident causation model</a> </p> <a href="https://publications.waset.org/abstracts/58837/a-review-of-literature-on-theories-of-construction-accident-causation-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58837.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">304</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">543</span> A Concept for Design of Road Super-Elevation Based on Horizontal Radius, Vertical Gradient and Accident Rate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=U.%20Chattaraj">U. Chattaraj</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Meena"> D. Meena</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Growth of traffic brings various negative effects, such as road accidents. To avoid such problems, a model is developed for the purpose of highway safety. In such areas, fuzzy logic is the most well-known simulation in the larger field. A model is accomplished for hilly and steep terrain based on Fuzzy Inference System (FIS), for which output is super elevation and input data is horizontal radius, vertical gradient, accident rate (AR). This result shows that the system can be efficaciously applied as for highway safety tool distinguishing hazards components correlated to the characteristics of the highway and has a great influence to the making of decision for accident precaution in transportation models. From this model, a positive relationship between geometric elements, accident rate, and super elevation is also identified. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20rate" title="accident rate">accident rate</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20inference%20system" title=" fuzzy inference system"> fuzzy inference system</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient" title=" gradient"> gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=radius" title=" radius"> radius</a>, <a href="https://publications.waset.org/abstracts/search?q=super%20elevation" title=" super elevation"> super elevation</a> </p> <a href="https://publications.waset.org/abstracts/97961/a-concept-for-design-of-road-super-elevation-based-on-horizontal-radius-vertical-gradient-and-accident-rate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97961.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">217</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">542</span> Effects of the Visual and Auditory Stimuli with Emotional Content on Eyewitness Testimony</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%C4%B0rem%20Bulut">İrem Bulut</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Z.%20%20S%C3%B6y%C3%BCk"> Mustafa Z. Söyük</a>, <a href="https://publications.waset.org/abstracts/search?q=Ertu%C4%9Frul%20Yal%C3%A7%C4%B1n"> Ertuğrul Yalçın</a>, <a href="https://publications.waset.org/abstracts/search?q=Simge%20%C5%9Ei%C5%9Fman-Bal"> Simge Şişman-Bal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Eyewitness testimony is one of the most frequently used methods in criminal cases for the determination of crime and perpetrator. In the literature, the number of studies about the reliability of eyewitness testimony is increasing. The study aims to reveal the factors that affect the short-term and long-term visual memory performance of the participants in the event of an accident. In this context, the effect of the emotional content of the accident and the sounds during the accident on visual memory performance was investigated with eye-tracking. According to the results, the presence of visual and auditory stimuli with emotional content during the accident decreases the participants' both short-term and long-term recall performance. Moreover, the data obtained from the eye monitoring device showed that the participants had difficulty in answering even the questions they focused on at the time of the accident. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eye%20tracking" title="eye tracking">eye tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=eyewitness%20testimony" title=" eyewitness testimony"> eyewitness testimony</a>, <a href="https://publications.waset.org/abstracts/search?q=long-term%20recall" title=" long-term recall"> long-term recall</a>, <a href="https://publications.waset.org/abstracts/search?q=short-term%20recall" title=" short-term recall"> short-term recall</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20memory" title=" visual memory"> visual memory</a> </p> <a href="https://publications.waset.org/abstracts/115650/effects-of-the-visual-and-auditory-stimuli-with-emotional-content-on-eyewitness-testimony" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115650.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">541</span> Integrating Deterministic and Probabilistic Safety Assessment to Decrease Risk & Energy Consumption in a Typical PWR</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ebrahim%20Ghanbari">Ebrahim Ghanbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Reza%20Nematollahi"> Mohammad Reza Nematollahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Integrating deterministic and probabilistic safety assessment (IDPSA) is one of the most commonly used issues in the field of safety analysis of power plant accident. It has also been recognized today that the role of human error in creating these accidents is not less than systemic errors, so the human interference and system errors in fault and event sequences are necessary. The integration of these analytical topics will be reflected in the frequency of core damage and also the study of the use of water resources in an accident such as the loss of all electrical power of the plant. In this regard, the SBO accident was simulated for the pressurized water reactor in the deterministic analysis issue, and by analyzing the operator's behavior in controlling the accident, the results of the combination of deterministic and probabilistic assessment were identified. The results showed that the best performance of the plant operator would reduce the risk of an accident by 10%, as well as a decrease of 6.82 liters/second of the water sources of the plant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IDPSA" title="IDPSA">IDPSA</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20error" title=" human error"> human error</a>, <a href="https://publications.waset.org/abstracts/search?q=SBO" title=" SBO"> SBO</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a> </p> <a href="https://publications.waset.org/abstracts/126612/integrating-deterministic-and-probabilistic-safety-assessment-to-decrease-risk-energy-consumption-in-a-typical-pwr" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126612.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">129</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">540</span> The Number of Corona Virus Infections in 2020</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasaswi%20Vengalasetti">Yasaswi Vengalasetti</a>, <a href="https://publications.waset.org/abstracts/search?q=Jacob%20Eisenach"> Jacob Eisenach</a>, <a href="https://publications.waset.org/abstracts/search?q=Jay%20Bhattacharya"> Jay Bhattacharya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Seroprevalence studies can provide an estimation of the Infection Fatality Rate (IFR), the probability of death given infection. Measuring the seroprevalence and reported deaths of an area within a given time frame an IFR can be estimated. With this IFR calculation, we can then observe COVID-19 death figures in different countries around the world and estimate the number of cases since the onset of the pandemic. There is a large range for estimated COVID-19 infections across different countries. This ranged from 0.659 million infections in Hong Kong to 277 million infections in India. The largest estimated share of the population infected is 63% in Peru and the lowest is 3% in Norway. For younger populations, COVID-19 is most fatal in South America; for older populations, it is most fatal in North America. The Asian regions stand out with significantly lower IFRs in older populations: at 80 years old, COVID-19 is about three times as fatal than in South Asia and about twelve times as fatal than in East Asia. The weighted average for the share of the population infected, the sum of infections divided by the sum of populations across all countries, is 23%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title="epidemiology">epidemiology</a>, <a href="https://publications.waset.org/abstracts/search?q=seroprevalence" title=" seroprevalence"> seroprevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=covid-19" title=" covid-19"> covid-19</a>, <a href="https://publications.waset.org/abstracts/search?q=infection%20fatality%20rate" title=" infection fatality rate"> infection fatality rate</a> </p> <a href="https://publications.waset.org/abstracts/148321/the-number-of-corona-virus-infections-in-2020" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148321.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">123</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">539</span> Study and Analysis of the Factors Affecting Road Safety Using Decision Tree Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naina%20Mahajan">Naina Mahajan</a>, <a href="https://publications.waset.org/abstracts/search?q=Bikram%20Pal%20Kaur"> Bikram Pal Kaur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of traffic accident analysis is to find the possible causes of an accident. Road accidents cannot be totally prevented but by suitable traffic engineering and management the accident rate can be reduced to a certain extent. This paper discusses the classification techniques C4.5 and ID3 using the WEKA Data mining tool. These techniques use on the NH (National highway) dataset. With the C4.5 and ID3 technique it gives best results and high accuracy with less computation time and error rate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=C4.5" title="C4.5">C4.5</a>, <a href="https://publications.waset.org/abstracts/search?q=ID3" title=" ID3"> ID3</a>, <a href="https://publications.waset.org/abstracts/search?q=NH%28National%20highway%29" title=" NH(National highway)"> NH(National highway)</a>, <a href="https://publications.waset.org/abstracts/search?q=WEKA%20data%20mining%20tool" title=" WEKA data mining tool"> WEKA data mining tool</a> </p> <a href="https://publications.waset.org/abstracts/43704/study-and-analysis-of-the-factors-affecting-road-safety-using-decision-tree-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43704.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">538</span> Safety Analysis and Accident Modeling of Transportation in Srinagar City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adinarayana%20Badveeti">Adinarayana Badveeti</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Shafi%20Mir"> Mohammad Shafi Mir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Srinagar city, in India, road safety is an important aspect that creates ecological balance and social well being. A road accident creates a situation that leaves behind distress, sorrow, and sufferings. Therefore identification of causes of road accidents becomes highly essential for adopting necessary preventive measures against a critical event. The damage created by road accidents to large extent is unrepairable and therefore needs attention to eradicate this continuously increasing trend of awful 'epidemic'. Road accident in India is among the highest in the world, with at least approximately 142.000 people killed each year on the road. Kashmir region is an ecologically sensitive place but lacks necessary facilities and infrastructure regarding road transportation, ultimately resulting in the critical event-road accidents creating a major problem for common people in the region. The objective of this project is to study the safety aspect of Srinagar City and also model the accidents with different aspect that causes accidents and also to suggest the possible remedies for lessening/eliminating the road accidents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title="road safety">road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20accident" title=" road accident"> road accident</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20infrastructure" title=" road infrastructure"> road infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=accident%20modeling" title=" accident modeling"> accident modeling</a> </p> <a href="https://publications.waset.org/abstracts/82507/safety-analysis-and-accident-modeling-of-transportation-in-srinagar-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82507.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">537</span> Road Accident Blackspot Analysis: Development of Decision Criteria for Accident Blackspot Safety Strategies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tania%20Viju">Tania Viju</a>, <a href="https://publications.waset.org/abstracts/search?q=Bimal%20P."> Bimal P.</a>, <a href="https://publications.waset.org/abstracts/search?q=Naseer%20M.%20A."> Naseer M. A.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to develop a conceptual framework for the decision support system (DSS), that helps the decision-makers to dynamically choose appropriate safety measures for each identified accident blackspot. An accident blackspot is a segment of road where the frequency of accident occurrence is disproportionately greater than other sections on roadways. According to a report by the World Bank, India accounts for the highest, that is, eleven percent of the global death in road accidents with just one percent of the world’s vehicles. Hence in 2015, the Ministry of Road Transport and Highways of India gave prime importance to the rectification of accident blackspots. To enhance road traffic safety and reduce the traffic accident rate, effectively identifying and rectifying accident blackspots is of great importance. This study helps to understand and evaluate the existing methods in accident blackspot identification and prediction that are used around the world and their application in Indian roadways. The decision support system, with the help of IoT, ICT and smart systems, acts as a management and planning tool for the government for employing efficient and cost-effective rectification strategies. In order to develop a decision criterion, several factors in terms of quantitative as well as qualitative data that influence the safety conditions of the road are analyzed. Factors include past accident severity data, occurrence time, light, weather and road conditions, visibility, driver conditions, junction type, land use, road markings and signs, road geometry, etc. The framework conceptualizes decision-making by classifying blackspot stretches based on factors like accident occurrence time, different climatic and road conditions and suggesting mitigation measures based on these identified factors. The decision support system will help the public administration dynamically manage and plan the necessary safety interventions required to enhance the safety of the road network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title="decision support system">decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20management" title=" dynamic management"> dynamic management</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20accident%20blackspots" title=" road accident blackspots"> road accident blackspots</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a> </p> <a href="https://publications.waset.org/abstracts/146154/road-accident-blackspot-analysis-development-of-decision-criteria-for-accident-blackspot-safety-strategies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146154.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">536</span> Using TRACE and SNAP Codes to Establish the Model of Maanshan PWR for SBO Accident</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20R.%20Shen">B. R. Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20R.%20Wang"> J. R. Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20H.%20Yang"> J. H. Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20W.%20Chen"> S. W. Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Shih"> C. Shih</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Chiang"> Y. Chiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20F.%20Chang"> Y. F. Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20H.%20Huang"> Y. H. Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this research, TRACE code with the interface code-SNAP was used to simulate and analyze the SBO (station blackout) accident which occurred in Maanshan PWR (pressurized water reactor) nuclear power plant (NPP). There are four main steps in this research. First, the SBO accident data of Maanshan NPP were collected. Second, the TRACE/SNAP model of Maanshan NPP was established by using these data. Third, this TRACE/SNAP model was used to perform the simulation and analysis of SBO accident. Finally, the simulation and analysis of SBO with mitigation equipments was performed. The analysis results of TRACE are consistent with the data of Maanshan NPP. The mitigation equipments of Maanshan can maintain the safety of Maanshan in the SBO according to the TRACE predictions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pressurized%20water%20reactor%20%28PWR%29" title="pressurized water reactor (PWR)">pressurized water reactor (PWR)</a>, <a href="https://publications.waset.org/abstracts/search?q=TRACE" title=" TRACE"> TRACE</a>, <a href="https://publications.waset.org/abstracts/search?q=station%20blackout%20%28SBO%29" title=" station blackout (SBO)"> station blackout (SBO)</a>, <a href="https://publications.waset.org/abstracts/search?q=Maanshan" title=" Maanshan"> Maanshan</a> </p> <a href="https://publications.waset.org/abstracts/99965/using-trace-and-snap-codes-to-establish-the-model-of-maanshan-pwr-for-sbo-accident" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99965.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">535</span> Combining the Deep Neural Network with the K-Means for Traffic Accident Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Celso%20L.%20Fernando">Celso L. Fernando</a>, <a href="https://publications.waset.org/abstracts/search?q=Toshio%20Yoshii"> Toshio Yoshii</a>, <a href="https://publications.waset.org/abstracts/search?q=Takahiro%20Tsubota"> Takahiro Tsubota</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding the causes of a road accident and predicting their occurrence is key to preventing deaths and serious injuries from road accident events. Traditional statistical methods such as the Poisson and the Logistics regressions have been used to find the association of the traffic environmental factors with the accident occurred; recently, an artificial neural network, ANN, a computational technique that learns from historical data to make a more accurate prediction, has emerged. Although the ability to make accurate predictions, the ANN has difficulty dealing with highly unbalanced attribute patterns distribution in the training dataset; in such circumstances, the ANN treats the minority group as noise. However, in the real world data, the minority group is often the group of interest; e.g., in the road traffic accident data, the events of the accident are the group of interest. This study proposes a combination of the k-means with the ANN to improve the predictive ability of the neural network model by alleviating the effect of the unbalanced distribution of the attribute patterns in the training dataset. The results show that the proposed method improves the ability of the neural network to make a prediction on a highly unbalanced distributed attribute patterns dataset; however, on an even distributed attribute patterns dataset, the proposed method performs almost like a standard neural network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accident%20risks%20estimation" title="accident risks estimation">accident risks estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=k-mean" title=" k-mean"> k-mean</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a> </p> <a href="https://publications.waset.org/abstracts/148822/combining-the-deep-neural-network-with-the-k-means-for-traffic-accident-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148822.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">163</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">534</span> Perceived Competence toward Helping an Accident Victim in Pre-Hospital Setting among Medical Graduates: A Cross Sectional Study from Jodhpur, Rajasthan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neeti%20Rustagi">Neeti Rustagi</a>, <a href="https://publications.waset.org/abstracts/search?q=Naveen%20Dutt"> Naveen Dutt</a>, <a href="https://publications.waset.org/abstracts/search?q=Arvind%20Sinha"> Arvind Sinha</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahaveer%20S.%20Rhodha"> Mahaveer S. Rhodha</a>, <a href="https://publications.waset.org/abstracts/search?q=Pankaja%20R.%20Raghav"> Pankaja R. Raghav</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Pre-hospital trauma care services are in developing stage in fast-urbanizing cities of India including Jodhpur. Training of health professionals in providing necessary pre-hospital trauma care is an essential step in decreasing accident related morbidity and mortality. The current study explores the response of a medical graduate toward helping an accident victim in a pre-hospital setting before patient can be transferred to definitive trauma facility. Methodology: This study examines the perceived competence in predicting response to an accident victim by medical graduates in Jodhpur, Rajasthan. Participants completed measures of attitude, normative influence and perceived behavior control toward providing pre-hospital care to an accident victim. Likert scale was used to measure the participant responses. Preliminary and descriptive analysis were used using SPSS 21.0. Internal consistency of the responses received was measured using Cronbach’s alpha. Results: Almost all medical graduates agreed that road accidents are common in their area (male: 92%; female: 78%). More male medical graduates (28%) reported helping an accident victim as compared to female physicians (9%) in the previous three months. Majority of study participants (96%) reported that providing immediate care to an accident victim is essential to save the life of an individual. Experience of helping an accident victim was considered unpleasant by the majority of female participants (70%) as compared to male participants (36%). A large number of participants believed that their friends (80%) and colleagues (96%) would appreciate them helping an accident victim in a pre-hospital setting. A large number of participants also believed that they possess the necessary skills and competencies (80%) towards helping a roadside accident victim in the pre-hospital care environment. Perceived competence of helping a roadside accident victim until they are transferred to a health facility was reported by less than half of the participants (male: 56%; female: 43%). Conclusion: Medical graduates have necessary attitude, competencies, and intention of helping a roadside accident victim. The societal response towards helping a road side accident victim is also supportive. In spite of positive determinants, a large proportion of medical graduates have perceived lack of competence in helping a roadside accident victim. This is essential to explore further as providing pre-hospital care to a roadside accident victim is an essential step in establishing the continuum of care to an accident victim especially in countries where pre-hospital services are in developing phase. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=prehospital%20care" title="prehospital care">prehospital care</a>, <a href="https://publications.waset.org/abstracts/search?q=perceived%20behavior" title=" perceived behavior"> perceived behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=perceived%20competence" title=" perceived competence"> perceived competence</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20graduates" title=" medical graduates"> medical graduates</a> </p> <a href="https://publications.waset.org/abstracts/107574/perceived-competence-toward-helping-an-accident-victim-in-pre-hospital-setting-among-medical-graduates-a-cross-sectional-study-from-jodhpur-rajasthan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107574.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">533</span> An Accidental Forecasting Modelling for Various Median Roads</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pruethipong%20Xinghatiraj">Pruethipong Xinghatiraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajwanlop%20Kumpoopong"> Rajwanlop Kumpoopong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Considering the current situation of road safety, Thailand has the world’s second-highest road fatality rate. Therefore, decreasing the road accidents in Thailand is a prime policy of the Thai government seeking to accomplish. One of the approaches to reduce the accident rate is to improve road environments to fit with the local behavior of the road users. The Department of Highways ensures that choosing the road median types right to the road characteristics, e.g. roadside characteristics, traffic volume, truck traffic percentage, etc., can decrease the possibility of accident occurrence. Presently, raised median, depressed median, painted median and median barriers are typically used in Thailand Highways. In this study, factors affecting road accident for each median type will be discovered through the analysis of the collecting of accident data, death numbers on sample of 600 Kilometers length across the country together with its roadside characteristics, traffic volume, heavy vehicles percentage, and other key factors. The benefits of this study can assist the Highway designers to select type of road medians that can match local environments and then cause less accident prone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=highways" title="highways">highways</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20median" title=" road median"> road median</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting%20model" title=" forecasting model"> forecasting model</a> </p> <a href="https://publications.waset.org/abstracts/62698/an-accidental-forecasting-modelling-for-various-median-roads" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">266</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">532</span> Human Error Analysis in the USA Marine Accidents Reports</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20S%C3%A1nchez-Beaskoetxea">J. Sánchez-Beaskoetxea</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The analysis of accidents, such as marine accidents, is one of the most useful instruments to avoid future accidents. In the case of marine accidents, from a simple collision of a small boat in a port to the wreck of a gigantic tanker ship, the study of the causes of the accidents is the basis of a great part of the marine international legislation. Some countries have official institutions who investigate all the accidents in which a ship with their flag is involved. In the case of the USA, the National Transportation Safety Board (NTSB) is responsible for these researches. The NTSB, after a deep investigation into each accident, publishes a Marine Accident Report with the possible cause of the accident. This paper analyses all the Marine Accident Reports published by the NTBS and focuses its attention especially in the Human Errors that led to reported accidents. In this research, the different Human Errors made by crew members are cataloged in 10 different groups. After a complete analysis of all the reports, the statistical analysis on the Human Errors typology in marine accidents is presented in order to use it as a tool to avoid the same errors in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20error" title="human error">human error</a>, <a href="https://publications.waset.org/abstracts/search?q=marine%20accidents" title=" marine accidents"> marine accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=ship%20crew" title=" ship crew"> ship crew</a>, <a href="https://publications.waset.org/abstracts/search?q=USA" title=" USA"> USA</a> </p> <a href="https://publications.waset.org/abstracts/63273/human-error-analysis-in-the-usa-marine-accidents-reports" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63273.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">418</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fatal%20accident&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fatal%20accident&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fatal%20accident&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fatal%20accident&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fatal%20accident&page=6">6</a></li> <li class="page-item"><a class="page-link" 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