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driving</title> <meta name="description" content="Search results for: simulated driving"> <meta name="keywords" content="simulated driving"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="simulated driving"> <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> 2664</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: simulated driving</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2664</span> Cognition of Driving Context for Driving Assistance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manolo%20Dulva%20Hina">Manolo Dulva Hina</a>, <a href="https://publications.waset.org/abstracts/search?q=Clement%20Thierry"> Clement Thierry</a>, <a href="https://publications.waset.org/abstracts/search?q=Assia%20Soukane"> Assia Soukane</a>, <a href="https://publications.waset.org/abstracts/search?q=Amar%20Ramdane-Cherif"> Amar Ramdane-Cherif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we presented our innovative way of determining the driving context for a driving assistance system. We invoke the fusion of all parameters that describe the context of the environment, the vehicle and the driver to obtain the driving context. We created a training set that stores driving situation patterns and from which the system consults to determine the driving situation. A machine-learning algorithm predicts the driving situation. The driving situation is an input to the fission process that yields the action that must be implemented when the driver needs to be informed or assisted from the given the driving situation. The action may be directed towards the driver, the vehicle or both. This is an ongoing work whose goal is to offer an alternative driving assistance system for safe driving, green driving and comfortable driving. Here, ontologies are used for knowledge representation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20driving" title="cognitive driving">cognitive driving</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transportation%20system" title=" intelligent transportation system"> intelligent transportation system</a>, <a href="https://publications.waset.org/abstracts/search?q=multimodal%20system" title=" multimodal system"> multimodal system</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology" title=" ontology"> ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/79015/cognition-of-driving-context-for-driving-assistance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79015.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">368</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">2663</span> Increased Reaction and Movement Times When Text Messaging during Simulated Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adriana%20M.%20Duquette">Adriana M. Duquette</a>, <a href="https://publications.waset.org/abstracts/search?q=Derek%20P.%20Bornath"> Derek P. Bornath</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reaction Time (RT) and Movement Time (MT) are important components of everyday life that have an effect on the way in which we move about our environment. These measures become even more crucial when an event can be caused (or avoided) in a fraction of a second, such as the RT and MT required while driving. The purpose of this study was to develop a more simple method of testing RT and MT during simulated driving with or without text messaging, in a university-aged population (n = 170). In the control condition, a randomly-delayed red light stimulus flashed on a computer interface after the participant began pressing the ‘gas’ pedal on a foot switch mat. Simple RT was defined as the time between the presentation of the light stimulus and the initiation of lifting the foot from the switch mat ‘gas’ pedal; while MT was defined as the time after the initiation of lifting the foot, to the initiation of depressing the switch mat ‘brake’ pedal. In the texting condition, upon pressing the ‘gas’ pedal, a ‘text message’ appeared on the computer interface in a dialog box that the participant typed on their cell phone while waiting for the light stimulus to turn red. In both conditions, the sequence was repeated 10 times, and an average RT (seconds) and average MT (seconds) were recorded. Condition significantly (p = .000) impacted overall RTs, as the texting condition (0.47 s) took longer than the no-texting (control) condition (0.34 s). Longer MTs were also recorded during the texting condition (0.28 s) than in the control condition (0.23 s), p = .001. Overall increases in Response Time (RT + MT) of 189 ms during the texting condition would equate to an additional 4.2 meters (to react to the stimulus and begin braking) if the participant had been driving an automobile at 80 km per hour. In conclusion, increasing task complexity due to the dual-task demand of text messaging during simulated driving caused significant increases in RT (41%), MT (23%) and Response Time (34%), thus further strengthening the mounting evidence against text messaging while driving. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=simulated%20driving" title="simulated driving">simulated driving</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20messaging" title=" text messaging"> text messaging</a>, <a href="https://publications.waset.org/abstracts/search?q=reaction%20time" title=" reaction time"> reaction time</a>, <a href="https://publications.waset.org/abstracts/search?q=movement%20time" title=" movement time"> movement time</a> </p> <a href="https://publications.waset.org/abstracts/22150/increased-reaction-and-movement-times-when-text-messaging-during-simulated-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22150.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">523</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">2662</span> Developing a Driving Simulator with a Navigation System to Measure Driver Distraction, Workload, Driving Safety and Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tamer%20E.%20Yared">Tamer E. Yared</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of driving simulators has made laboratory testing easier. It has been proven to be valid for testing driving ability by many researchers. One benefit of using driving simulators is keeping the human subjects away from traffic hazards, which drivers usually face in a real driving environment while performing a driving experiment. In this study, a driving simulator was developed with a navigation system using a game development software (Unity 3D) and C-sharp codes to measure and evaluate driving performance, safety, and workload for different driving tasks. The driving simulator hardware included a gaming steering wheel and pedals as well as a monitor to view the driving tasks. Moreover, driver distraction was evaluated by utilizing an eye-tracking system working in conjunction with the driving simulator. Twenty subjects were recruited to evaluate driver distraction, workload, driving safety, and performance, as well as provide their feedback about the driving simulator. The subjects’ feedback was obtained by filling a survey after conducting several driving tasks. The main question of that survey was asking the subjects to compare driving on the driving simulator with real driving. Furthermore, other aspects of the driving simulator were evaluated by the subjects in the survey. The survey revealed that the recruited subjects gave an average score of 7.5 out of 10 to the driving simulator when compared to real driving, where the scores ranged between 6 and 8.5. This study is a preliminary effort that opens the door for more improvements to the driving simulator in terms of hardware and software development, which will contribute significantly to driving ability testing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver%20distraction" title="driver distraction">driver distraction</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20performance" title=" driving performance"> driving performance</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20safety" title=" driving safety"> driving safety</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20simulator" title=" driving simulator"> driving simulator</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20workload" title=" driving workload"> driving workload</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20system" title=" navigation system"> navigation system</a> </p> <a href="https://publications.waset.org/abstracts/132536/developing-a-driving-simulator-with-a-navigation-system-to-measure-driver-distraction-workload-driving-safety-and-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132536.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">178</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">2661</span> Improvement of Brige Weigh-In-Motion Technique Considering the Driving Conditions of Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Changgil%20Lee">Changgil Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Jooyoung%20Park"> Jooyoung Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Seunghee%20Park"> Seunghee Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, bridge weigh-in-motion (BWIM) system was simulated under various driving conditions of vehicles to improve the performance of the BWIM system. Two driving conditions were considered. One was the number of the axle of the vehicles. Since the vehicles have different number of axle according to the types of the vehicle, the vehicles were modeled considering the number of the axle. The other was the speed of the vehicles because the speed of the vehicles is not consistent on the bridge. To achieve the goal, the dynamic characteristics of a bridge such as modal parameters were considered in numerical simulation by analyzing precision models. Also, the driving vehicles were modeled as mass-spring-damping systems reflecting the axle information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bridge%20weigh-in-motion%20%28BWIM%29%20system" title="bridge weigh-in-motion (BWIM) system">bridge weigh-in-motion (BWIM) system</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20conditions" title=" driving conditions"> driving conditions</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20analysis%20model" title=" precision analysis model"> precision analysis model</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20number%20of%20axle" title=" the number of axle"> the number of axle</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20speed%20of%20vehicle" title=" the speed of vehicle"> the speed of vehicle</a> </p> <a href="https://publications.waset.org/abstracts/57266/improvement-of-brige-weigh-in-motion-technique-considering-the-driving-conditions-of-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57266.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">469</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">2660</span> Incorporating Moving Authority Limits Into Driving Advice</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peng%20Zhou">Peng Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Pudney"> Peter Pudney</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driver advice systems are used by many rail operators to help train drivers to improve timekeeping while minimising energy use. These systems typically operate independently of the safeworking system, because information on how far the train is allowed to travel -the “limit of authority"- is usually not available as real-time data that can be used when generating driving advice. This is not an issue when there is sufficient separation between trains. But on systems with low headways, driving advice could conflict with safeworking requirements. We describe a method for generating driving advice that takes into account a moving limit of authority that is communicated to the train in real-time. We illustrate the method with four simulated examples using data from the Zhengzhou Metro. The method will allow driver advice systems to be used more effectively on railways with low headways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=railway%20transportation" title="railway transportation">railway transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficient%20train%20operation" title=" energy efficient train operation"> energy efficient train operation</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20train%20control" title=" optimal train control"> optimal train control</a>, <a href="https://publications.waset.org/abstracts/search?q=safe%20separation" title=" safe separation"> safe separation</a> </p> <a href="https://publications.waset.org/abstracts/194607/incorporating-moving-authority-limits-into-driving-advice" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194607.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">9</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">2659</span> The Effects of Sleep Deprivation on Vigilance, Fatigue, and Performance during Simulated Train Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Clara%20Theresia">Clara Theresia</a>, <a href="https://publications.waset.org/abstracts/search?q=Hardianto%20Iridiastadi"> Hardianto Iridiastadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Drowsiness is one of the main factors that contribute to the occurrence of accidents, particularly in the transportation sector. While the effects of sleep deprivation on cognitive functions have been reported, the exact relationships remain a critical issue. This study aimed at quantifying the effects of extreme sleep deprivation on vigilance, fatigue, and performance during simulated train driving. A total of 12 participants were asked to drive a train simulator continuously for 4 hours, either in a sleep deprived condition (2-hr of sleep) or normal (8-hr of sleep) condition. Dependent variables obtained during the task included Psychomotor Vigilance Task (PVT) parameters, degree of fatigue (assessed via Visual Analogue Scale/VAS) and sleepiness (reported using Karolinska Sleepiness Scale/KSS), and driving performance (the number of speed limit violations). Findings from this study demonstrated substantial decrements in vigilance in the sleep-deprived condition. This condition also resulted in 75% increase in speed violation and a two-fold increase in the degree of fatigue and sleepiness. Extreme sleep deprivation was clearly associated with substantially poorer response. The exact effects, however, were dependent upon the types of responses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20function" title="cognitive function">cognitive function</a>, <a href="https://publications.waset.org/abstracts/search?q=psychomotor%20vigilance%20task" title=" psychomotor vigilance task"> psychomotor vigilance task</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20deprivation" title=" sleep deprivation"> sleep deprivation</a>, <a href="https://publications.waset.org/abstracts/search?q=train%20simulator" title=" train simulator"> train simulator</a> </p> <a href="https://publications.waset.org/abstracts/80174/the-effects-of-sleep-deprivation-on-vigilance-fatigue-and-performance-during-simulated-train-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80174.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">186</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">2658</span> Motorist Driving Strategy-Related Factors Affecting Vehicle Fuel Efficiency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aydin%20Azizi">Aydin Azizi</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdurrahman%20Tanira"> Abdurrahman Tanira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the onset of climate change and limited fuel resources, improving fuel efficiency has become an important part of the motor industry. To maximize fuel efficiency, development of technologies must come hand-in-hand with awareness of efficient driving strategies. This study aims to explore the various driving habits that can impact fuel efficiency by reviewing available literature. Such habits include sudden and unnecessary acceleration or deceleration, improper hardware maintenance, driving above or below optimum speed and idling. By studying such habits and ultimately applying it to driving techniques, in combination with improved mechanics of the car, will optimize the use of fuel. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuel%20efficiency" title="fuel efficiency">fuel efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20techniques" title=" driving techniques"> driving techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20speed" title=" optimum speed"> optimum speed</a>, <a href="https://publications.waset.org/abstracts/search?q=optimizing%20fuel%20consumption" title=" optimizing fuel consumption"> optimizing fuel consumption</a> </p> <a href="https://publications.waset.org/abstracts/44070/motorist-driving-strategy-related-factors-affecting-vehicle-fuel-efficiency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44070.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">460</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">2657</span> A Virtual Set-Up to Evaluate Augmented Reality Effect on Simulated Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alicia%20Yanadira%20Nava%20Fuentes">Alicia Yanadira Nava Fuentes</a>, <a href="https://publications.waset.org/abstracts/search?q=Ilse%20Cervantes%20Camacho"> Ilse Cervantes Camacho</a>, <a href="https://publications.waset.org/abstracts/search?q=Amadeo%20Jos%C3%A9%20Arg%C3%BCelles%20Cruz"> Amadeo José Argüelles Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Mar%C3%ADa%20Balboa%20Verduzco"> Ana María Balboa Verduzco</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Augmented reality promises being present in future driving, with its immersive technology let to show directions and maps to identify important places indicating with graphic elements when the car driver requires the information. On the other side, driving is considered a multitasking activity and, for some people, a complex activity where different situations commonly occur that require the immediate attention of the car driver to make decisions that contribute to avoid accidents; therefore, the main aim of the project is the instrumentation of a platform with biometric sensors that allows evaluating the performance in driving vehicles with the influence of augmented reality devices to detect the level of attention in drivers, since it is important to know the effect that it produces. In this study, the physiological sensors EPOC X (EEG), ECG06 PRO and EMG Myoware are joined in the driving test platform with a Logitech G29 steering wheel and the simulation software City Car Driving in which the level of traffic can be controlled, as well as the number of pedestrians that exist within the simulation obtaining a driver interaction in real mode and through a MSP430 microcontroller achieves the acquisition of data for storage. The sensors bring a continuous analog signal in time that needs signal conditioning, at this point, a signal amplifier is incorporated due to the acquired signals having a sensitive range of 1.25 mm/mV, also filtering that consists in eliminating the frequency bands of the signal in order to be interpretative and without noise to convert it from an analog signal into a digital signal to analyze the physiological signals of the drivers, these values are stored in a database. Based on this compilation, we work on the extraction of signal features and implement K-NN (k-nearest neighbor) classification methods and decision trees (unsupervised learning) that enable the study of data for the identification of patterns and determine by classification methods different effects of augmented reality on drivers. The expected results of this project include are a test platform instrumented with biometric sensors for data acquisition during driving and a database with the required variables to determine the effect caused by augmented reality on people in simulated driving. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=augmented%20reality" title="augmented reality">augmented reality</a>, <a href="https://publications.waset.org/abstracts/search?q=driving" title=" driving"> driving</a>, <a href="https://publications.waset.org/abstracts/search?q=physiological%20signals" title=" physiological signals"> physiological signals</a>, <a href="https://publications.waset.org/abstracts/search?q=test%20platform" title=" test platform"> test platform</a> </p> <a href="https://publications.waset.org/abstracts/145037/a-virtual-set-up-to-evaluate-augmented-reality-effect-on-simulated-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145037.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">142</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">2656</span> Expert-Driving-Criteria Based on Fuzzy Logic Approach for Intelligent Driving Diagnosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9s%20C.%20Cuervo%20Pinilla">Andrés C. Cuervo Pinilla</a>, <a href="https://publications.waset.org/abstracts/search?q=Christian%20G.%20Quintero%20M."> Christian G. Quintero M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Chinthaka%20Premachandra"> Chinthaka Premachandra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper considers people’s driving skills diagnosis under real driving conditions. In that sense, this research presents an approach that uses GPS signals which have a direct correlation with driving maneuvers. Besides, it is presented a novel expert-driving-criteria approximation using fuzzy logic which seeks to analyze GPS signals in order to issue an intelligent driving diagnosis. Based on above, this works presents in the first section the intelligent driving diagnosis system approach in terms of its own characteristics properties, explaining in detail significant considerations about how an expert-driving-criteria approximation must be developed. In the next section, the implementation of our developed system based on the proposed fuzzy logic approach is explained. Here, a proposed set of rules which corresponds to a quantitative abstraction of some traffics laws and driving secure techniques seeking to approach an expert-driving- criteria approximation is presented. Experimental testing has been performed in real driving conditions. The testing results show that the intelligent driving diagnosis system qualifies driver’s performance quantitatively with a high degree of reliability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver%20support%20systems" title="driver support systems">driver support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transportation%20systems" title=" intelligent transportation systems"> intelligent transportation systems</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=real%20time%20data%20processing" title=" real time data processing"> real time data processing</a> </p> <a href="https://publications.waset.org/abstracts/6508/expert-driving-criteria-based-on-fuzzy-logic-approach-for-intelligent-driving-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6508.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">518</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">2655</span> A Multi-Agent Urban Traffic Simulator for Generating Autonomous Driving Training Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Florin%20Leon">Florin Leon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes a simulator of traffic scenarios tailored to facilitate autonomous driving model training for urban environments. With the rising prominence of self-driving vehicles, the need for diverse datasets is very important. The proposed simulator provides a flexible framework that allows the generation of custom scenarios needed for the validation and enhancement of trajectory prediction algorithms. Its controlled yet dynamic environment addresses the challenges associated with real-world data acquisition and ensures adaptability to diverse driving scenarios. By providing an adaptable solution for scenario creation and algorithm testing, this tool proves to be a valuable resource for advancing autonomous driving technology that aims to ensure safe and efficient self-driving vehicles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20driving" title="autonomous driving">autonomous driving</a>, <a href="https://publications.waset.org/abstracts/search?q=car%20simulator" title=" car simulator"> car simulator</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20training" title=" model training"> model training</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20simulation%20environment" title=" urban simulation environment"> urban simulation environment</a> </p> <a href="https://publications.waset.org/abstracts/182587/a-multi-agent-urban-traffic-simulator-for-generating-autonomous-driving-training-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182587.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">61</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">2654</span> Head-Mounted Displays for HCI Validations While Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Reich">D. Reich</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Stark"> R. Stark</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To provide reliable and valid findings when evaluating innovative in-car devices in the automotive context highly realistic driving environments are recommended. Nowadays, in-car devices are mostly evaluated due to driving simulator studies followed by real car driving experiments. Driving simulators are characterized by high internal validity, but weak regarding ecological validity. Real car driving experiments are ecologically valid, but difficult to standardize, more time-robbing and costly. One economizing suggestion is to implement more immersive driving environments when applying driving simulator studies. This paper presents research comparing non-immersive standard PC conditions with mobile and highly immersive Oculus Rift conditions while performing the Lane Change Task (LCT). Subjective data with twenty participants show advantages regarding presence and immersion experience when performing the LCT with the Oculus Rift, but affect adversely cognitive workload and simulator sickness, compared to non-immersive PC condition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=immersion" title="immersion">immersion</a>, <a href="https://publications.waset.org/abstracts/search?q=oculus%20rift" title=" oculus rift"> oculus rift</a>, <a href="https://publications.waset.org/abstracts/search?q=presence" title=" presence"> presence</a>, <a href="https://publications.waset.org/abstracts/search?q=situation%20awareness" title=" situation awareness"> situation awareness</a> </p> <a href="https://publications.waset.org/abstracts/54834/head-mounted-displays-for-hci-validations-while-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54834.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">190</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">2653</span> Distracted Driving among Young Drivers in Qatar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Shaaban">Khaled Shaaban</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distracted driving, which includes anything that distracts a driver from the main task of driving, is one of the main causes of traffic accidents in modern societies. The objective of this research was to understand the type of activities that young drivers perform while driving in Qatar and to identify which activities cause the most distraction to the driver based on their experience. The data was collected through administered questionnaires in the city of Doha, Qatar. According to the participants, the majority reported that they use their cell phone all the time or occasionally while driving. Other significantly cited activities while driving included listening to music or radio, talking with passengers, and eating, drinking or smoking. When asked about the activities that distract the driver, using cell phone was listed as the most distracting activity followed by mental activities and adjusting GPS and audio device vehicle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driver%20distraction" title="driver distraction">driver distraction</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=cell%20phone%20use" title=" cell phone use"> cell phone use</a>, <a href="https://publications.waset.org/abstracts/search?q=Qatar" title=" Qatar"> Qatar</a> </p> <a href="https://publications.waset.org/abstracts/16281/distracted-driving-among-young-drivers-in-qatar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16281.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">493</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">2652</span> Gender Differences in the Prediction of Smartphone Use While Driving: Personal and Social Factors </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erez%20Kita">Erez Kita</a>, <a href="https://publications.waset.org/abstracts/search?q=Gil%20Luria"> Gil Luria</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examines gender as a boundary condition for the relationship between the psychological variable of mindfulness and the social variable of income with regards to the use of smartphones by young drivers. The use of smartphones while driving increases the likelihood of a car accident, endangering young drivers and other road users. The study sample included 186 young drivers who were legally permitted to drive without supervision. The subjects were first asked to complete questionnaires on mindfulness and income. Next, their smartphone use while driving was monitored over a one-month period. This study is unique as it used an objective smartphone monitoring application (rather than self-reporting) to count the number of times the young participants actually touched their smartphones while driving. The findings show that gender moderates the effects of social and personal factors (i.e., income and mindfulness) on the use of smartphones while driving. The pattern of moderation was similar for both social and personal factors. For men, mindfulness and income are negatively associated with the use of smartphones while driving. These factors are not related to the use of smartphones by women drivers. Mindfulness and income can be used to identify male populations that are at risk of using smartphones while driving. Interventions that improve mindfulness can be used to reduce the use of smartphones by male drivers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mindfulness" title="mindfulness">mindfulness</a>, <a href="https://publications.waset.org/abstracts/search?q=using%20smartphones%20while%20driving" title=" using smartphones while driving"> using smartphones while driving</a>, <a href="https://publications.waset.org/abstracts/search?q=income" title=" income"> income</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a> </p> <a href="https://publications.waset.org/abstracts/118529/gender-differences-in-the-prediction-of-smartphone-use-while-driving-personal-and-social-factors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118529.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">172</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">2651</span> Driving in a Short Arm Plaster Cast Steer a Patient off Course: A Randomised, Controlled, Crossover Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20W.%20Kenny">B. W. Kenny</a>, <a href="https://publications.waset.org/abstracts/search?q=D.Mansour"> D.Mansour</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20G.%20Mansour"> K. G. Mansour</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Attia"> J. Attia</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Meads"> B. Meads </a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is currently insufficient evidence to make a conclusive statement about safety while immobilized in a short arm cast. There is a paucity of published literature on this topic. The purpose of this study is to specifically evaluate short arm casts and their effect on driving abilities, particularly steering and avoidance of obstacles. The ability to drive safely is extrapolated from this data. In this study, a randomised, controlled, crossover design was used to assess 30 subjects randomised into 2 groups. A Logitech force feedback steering column and simulated driving program with a standardised road course was used. Objective outcome measures were the number of times subjects drove off the track, the number of crashes, time to lap completion and subjective assessment on whether wearing a short arm plaster cast impeded their steering. Recruited subjects had no upper limb pathology. The side of the applied plaster cast was randomised. The mean lap completion time reduced with repetition, the difference being statistically significant. There was no significant difference in mean number of times subjects in casts drove off the track (3 with vs. 3.07 without casts), average number of crashes (1.27 vs 0.97). Steering ability was not reduced whilst a subject was immobilised in a short arm Plaster of Paris cast, despite subject’s own impressions that their steering was impeded. This may help guide doctors in their advice to patients regarding driving in these casts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=upper%20limb" title="upper limb">upper limb</a>, <a href="https://publications.waset.org/abstracts/search?q=arm%20injury" title=" arm injury"> arm injury</a>, <a href="https://publications.waset.org/abstracts/search?q=plaster%20cast" title=" plaster cast"> plaster cast</a>, <a href="https://publications.waset.org/abstracts/search?q=splint" title=" splint"> splint</a>, <a href="https://publications.waset.org/abstracts/search?q=driving" title=" driving"> driving</a>, <a href="https://publications.waset.org/abstracts/search?q=automobile" title=" automobile"> automobile</a>, <a href="https://publications.waset.org/abstracts/search?q=bone%20fracture" title=" bone fracture "> bone fracture </a> </p> <a href="https://publications.waset.org/abstracts/20977/driving-in-a-short-arm-plaster-cast-steer-a-patient-off-course-a-randomised-controlled-crossover-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20977.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">247</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">2650</span> The Effects of Billboard Content and Visible Distance on Driver Behavior</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arsalan%20Hassan%20Pour">Arsalan Hassan Pour</a>, <a href="https://publications.waset.org/abstracts/search?q=Mansoureh%20Jeihani"> Mansoureh Jeihani</a>, <a href="https://publications.waset.org/abstracts/search?q=Samira%20%20Ahangari"> Samira Ahangari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distracted driving has been one of the most integral concerns surrounding our daily use of vehicles since the invention of the automobile. While much attention has been recently given to cell phones related distraction, commercial billboards along roads are also candidates for drivers' visual and cognitive distractions, as they may take drivers’ eyes from the road and their minds off the driving task to see, perceive and think about the billboard’s content. Using a driving simulator and a head-mounted eye-tracking system, speed change, acceleration, deceleration, throttle response, collision, lane changing, and offset from the center of the lane data along with gaze fixation duration and frequency data were collected in this study. Some 92 participants from a fairly diverse sociodemographic background drove on a simulated freeway in Baltimore, Maryland area and were exposed to three different billboards to investigate the effects of billboards on drivers’ behavior. Participants glanced at the billboards several times with different frequencies, the maximum of which occurred on the billboard with the highest cognitive load. About 74% of the participants didn’t look at billboards for more than two seconds at each glance except for the billboard with a short visible area. Analysis of variance (ANOVA) was performed to find the variations in driving behavior when they are invisible, readable, and post billboards area. The results show a slight difference in speed, throttle, brake, steering velocity, and lane changing, among different areas. Brake force and deviation from the center of the lane increased in the readable area in comparison with the visible area, and speed increased right after each billboard. The results indicated that billboards have a significant effect on driving performance and visual attention based on their content and visibility status. Generalized linear model (GLM) analysis showed no connection between participants’ age and driving experience with gaze duration. However, the visible distance of the billboard, gender, and billboard content had a significant effect on gaze duration. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title="ANOVA">ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=billboards" title=" billboards"> billboards</a>, <a href="https://publications.waset.org/abstracts/search?q=distracted%20driving" title=" distracted driving"> distracted driving</a>, <a href="https://publications.waset.org/abstracts/search?q=drivers%27%20behavior" title=" drivers' behavior"> drivers' behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20simulator" title=" driving simulator"> driving simulator</a>, <a href="https://publications.waset.org/abstracts/search?q=eye-Tracking%20system" title=" eye-Tracking system"> eye-Tracking system</a>, <a href="https://publications.waset.org/abstracts/search?q=GLM" title=" GLM"> GLM</a> </p> <a href="https://publications.waset.org/abstracts/118543/the-effects-of-billboard-content-and-visible-distance-on-driver-behavior" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118543.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">128</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">2649</span> Exergy Losses Relation with Driving Forces in Heat Transfer Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Ali%20Ashrafizadeh">S. Ali Ashrafizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Amidpour"> M. Amidpour</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Hedayat"> N. Hedayat </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driving forces along with transfer coefficient affect on heat transfer rate, on the other hand, with regard to the relation of these forces with irriversibilities they are effective on exergy losses. Therefore, the driving forces can be used as a relation between heat transfer rate, transfer coefficients and exergy losses. In this paper, first, the relation of the exergetic efficiency and resistant forces is obtained, next the relation between exergy efficiency, relative driving force, heat transfer rate and heat resistances is considered. In all cases, results are argued graphically. Finally, a case study inspected by obtained results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heat%20transfer" title="heat transfer">heat transfer</a>, <a href="https://publications.waset.org/abstracts/search?q=exergy%20losses" title=" exergy losses"> exergy losses</a>, <a href="https://publications.waset.org/abstracts/search?q=exergetic%20efficiency" title=" exergetic efficiency"> exergetic efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20forces" title=" driving forces"> driving forces</a> </p> <a href="https://publications.waset.org/abstracts/30134/exergy-losses-relation-with-driving-forces-in-heat-transfer-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30134.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">606</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">2648</span> Numerical Analysis for Soil Compaction and Plastic Points Extension in Pile Drivability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omid%20Tavasoli">Omid Tavasoli</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Ghazavi"> Mahmoud Ghazavi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A numerical analysis of drivability of piles in different geometry is presented. In this paper, a three-dimensional finite difference analysis for plastic point extension and soil compaction in the effect of pile driving is analyzed. Four pile configurations such as cylindrical pile, fully tapered pile, T-C pile consists of a top tapered segment and a lower cylindrical segment and C-T pile has a top cylindrical part followed by a tapered part are investigated. All piles which driven up to a total penetration depth of 16 m have the same length with equivalent surface area and approximately with identical material volumes. An idealization for pile-soil system in pile driving is considered for this approach. A linear elastic material is assumed to model the vertical pile behaviors and the soil obeys the elasto-plastic constitutive low and its failure is controlled by the Mohr-Coulomb failure criterion. A slip which occurred at the pile-soil contact surfaces along the shaft and the toe in pile driving procedures is simulated with interface elements. All initial and boundary conditions are the same in all analyses. Quiet boundaries are used to prevent wave reflection in the lateral and vertical directions for the soil. The results obtained from numerical analyses were compared with available other numerical data and laboratory tests, indicating a satisfactory agreement. It will be shown that with increasing the angle of taper, the permanent piles toe settlement increase and therefore, the extension of plastic points increase. These are interesting phenomena in pile driving and are on the safe side for driven piles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pile%20driving" title="pile driving">pile driving</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20difference%20method" title=" finite difference method"> finite difference method</a>, <a href="https://publications.waset.org/abstracts/search?q=non-uniform%20piles" title=" non-uniform piles"> non-uniform piles</a>, <a href="https://publications.waset.org/abstracts/search?q=pile%20geometry" title=" pile geometry"> pile geometry</a>, <a href="https://publications.waset.org/abstracts/search?q=pile%20set" title=" pile set"> pile set</a>, <a href="https://publications.waset.org/abstracts/search?q=plastic%20points" title=" plastic points"> plastic points</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20compaction" title=" soil compaction"> soil compaction</a> </p> <a href="https://publications.waset.org/abstracts/32842/numerical-analysis-for-soil-compaction-and-plastic-points-extension-in-pile-drivability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32842.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">2647</span> Eco-Drive Predictive Analytics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sharif%20Muddsair">Sharif Muddsair</a>, <a href="https://publications.waset.org/abstracts/search?q=Eisels%20Martin"> Eisels Martin</a>, <a href="https://publications.waset.org/abstracts/search?q=Giesbrecht%20Eugenie"> Giesbrecht Eugenie </a> </p> <p class="card-text"><strong>Abstract:</strong></p> With development of society increase the demand for the movement of people also increases gradually. The various modes of the transport in different extent which expat impacts, which depends on mainly technical-operating conditions. The up-to-date telematics systems provide the transport industry a revolutionary. Appropriate use of these systems can help to substantially improve the efficiency. Vehicle monitoring and fleet tracking are among services used for improving efficiency and effectiveness of utility vehicle. There are many telematics systems which may contribute to eco-driving. Generally, they can be grouped according to their role in driving cycle. • Before driving - eco-route selection, • While driving – Advanced driver assistance, • After driving – remote analysis. Our point of interest is regulated in third point [after driving – remote analysis]. TS [Telematics-system] make it possible to record driving patterns in real time and analysis the data later on, So that driver- classification-specific hints [fast driver, slow driver, aggressive driver…)] are given to imitate eco-friendly driving style. Together with growing number of vehicle and development of information technology, telematics become an ‘active’ research subject in IT and the car industry. Telematics has gone a long way from providing navigation solution/assisting the driver to become an integral part of the vehicle. Today’s telematics ensure safety, comfort and become convenience of the driver. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title="internet of things">internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=iot" title=" iot"> iot</a>, <a href="https://publications.waset.org/abstracts/search?q=connected%20vehicle" title=" connected vehicle"> connected vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=cv" title=" cv"> cv</a>, <a href="https://publications.waset.org/abstracts/search?q=ts" title=" ts"> ts</a>, <a href="https://publications.waset.org/abstracts/search?q=telematics%20services" title=" telematics services"> telematics services</a>, <a href="https://publications.waset.org/abstracts/search?q=ml" title=" ml"> ml</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/31164/eco-drive-predictive-analytics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31164.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">306</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">2646</span> The Effects of Using Telephone and Social Media Applications While Driving in Kuwait</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bashaiar%20Alsanaa">Bashaiar Alsanaa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social media have totally converged with social life all around the globe. Using social media applications and mobile phones have become somewhat of an addiction to most people. Driving while using mobile applications falls under such addiction when usage is not of urgency. This study aims to investigate the impact of using such applications while driving in the small rich state of Kuwait, where most people juggle more than one phone for different purposes. Positive and negative effects will be explored in detail as well as causes for these effects and possible reasons. A full range of recommendations will be presented so as to give other countries a specific case study upon which to build solutions and remedies to this emerging and dangerous social phenomenon. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20media" title="social media">social media</a>, <a href="https://publications.waset.org/abstracts/search?q=driving" title=" driving"> driving</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20applications" title=" mobile applications"> mobile applications</a>, <a href="https://publications.waset.org/abstracts/search?q=communication" title=" communication"> communication</a> </p> <a href="https://publications.waset.org/abstracts/50264/the-effects-of-using-telephone-and-social-media-applications-while-driving-in-kuwait" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50264.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">362</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">2645</span> Optimal Driving Strategies for a Hybrid Street Type Motorcycle: Modelling and Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jhon%20Vargas">Jhon Vargas</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilberto%20Osorio-Gomez"> Gilberto Osorio-Gomez</a>, <a href="https://publications.waset.org/abstracts/search?q=Tatiana%20Manrique"> Tatiana Manrique</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents an optimal driving strategy proposal for a 125 c.c. street-type hybrid electric motorcycle with a parallel configuration. The results presented in this article are complementary regarding the control proposal of a hybrid motorcycle. In order to carry out such developments, a representative dynamic model of the motorcycle is used, in which also are described different optimization functionalities for predetermined driving modes. The purpose is to implement an off-line optimal driving strategy which distributes energy to both engines by minimizing an objective torque requirement function. An optimal dynamic contribution is found from the optimization routine, and the optimal percentage contribution for vehicle cruise speed is implemented in the proposed online PID controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20model" title="dynamic model">dynamic model</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20strategies" title=" driving strategies"> driving strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20hybrid%20motorcycle" title=" parallel hybrid motorcycle"> parallel hybrid motorcycle</a>, <a href="https://publications.waset.org/abstracts/search?q=PID%20controller" title=" PID controller"> PID controller</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/133692/optimal-driving-strategies-for-a-hybrid-street-type-motorcycle-modelling-and-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133692.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">189</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">2644</span> Social Media Effects on Driving: An Exploratory Study Applied to Drivers in Kuwait </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bashaiar%20Alsanaa">Bashaiar Alsanaa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social media have totally converged with social life all around the globe. Using social media applications and mobile phones have become somewhat of an addiction to most people. Driving while using mobile applications falls under such addiction when usage is not of urgency. This study aims to investigate the impact of using such applications while driving in the small, rich state of Kuwait, where most people juggle more than one phone for different purposes. Positive and negative effects will be explored in detail as well as causes for these effects and possible reasons. A full range of recommendations will be presented so as to give other countries a specific case study upon which to build solutions and remedies to this emerging and dangerous social phenomenon. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=communications" title="communications">communications</a>, <a href="https://publications.waset.org/abstracts/search?q=driving" title=" driving"> driving</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile" title=" mobile"> mobile</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a> </p> <a href="https://publications.waset.org/abstracts/52571/social-media-effects-on-driving-an-exploratory-study-applied-to-drivers-in-kuwait" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52571.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">334</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">2643</span> Research on Morning Commuting Behavior under Autonomous Vehicle Environment Based on Activity Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qing%20Dai">Qing Dai</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhengkui%20Lin"> Zhengkui Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiajia%20Zhang"> Jiajia Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi%20Qu"> Yi Qu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Based on activity method, this paper focuses on morning commuting behavior when commuters travel with autonomous vehicles (AVs). Firstly, a net utility function of commuters is constructed by the activity utility of commuters at home, in car and at workplace, and the disutility of travel time cost and that of schedule delay cost. Then, this net utility function is applied to build an equilibrium model. Finally, under the assumption of constant marginal activity utility, the properties of equilibrium are analyzed. The results show that, in autonomous driving, the starting and ending time of morning peak and the number of commuters who arrive early and late at workplace are the same as those in manual driving. In automatic driving, however, the departure rate of arriving early at workplace is higher than that of manual driving, while the departure rate of arriving late is just the opposite. In addition, compared with manual driving, the departure time of arriving at workplace on time is earlier and the number of people queuing at the bottleneck is larger in automatic driving. However, the net utility of commuters and the total net utility of system in automatic driving are greater than those in manual driving. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20cars" title="autonomous cars">autonomous cars</a>, <a href="https://publications.waset.org/abstracts/search?q=bottleneck%20model" title=" bottleneck model"> bottleneck model</a>, <a href="https://publications.waset.org/abstracts/search?q=activity%20utility" title=" activity utility"> activity utility</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20equilibrium" title=" user equilibrium"> user equilibrium</a> </p> <a href="https://publications.waset.org/abstracts/128666/research-on-morning-commuting-behavior-under-autonomous-vehicle-environment-based-on-activity-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128666.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">111</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">2642</span> Application of Industrial Ergonomics in Vehicle Service System Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Yu">Zhao Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhi-Nan%20Zhang"> Zhi-Nan Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> More and more interactive devices are used in the transportation service system. Our mobile phones, on-board computers, and Head-Up Displays (HUDs) can all be used as the tools of the in-car service system. People can access smart systems with different terminals such as mobile phones, computers, pads and even their cars and watches. Different forms of terminals bring the different quality of interaction by the various human-computer Interaction modes. The new interactive devices require good ergonomics design at each stage of the whole design process. According to the theory of human factors and ergonomics, this paper compared three types of interactive devices by four driving tasks. Forty-eight drivers were chosen to experience these three interactive devices (mobile phones, on-board computers, and HUDs) by a simulate driving process. The subjects evaluated ergonomics performance and subjective workload after the process. And subjects were encouraged to support suggestions for improving the interactive device. The result shows that different interactive devices have different advantages in driving tasks, especially in non-driving tasks such as information and entertainment fields. Compared with mobile phones and onboard groups, the HUD groups had shorter response times in most tasks. The tasks of slow-up and the emergency braking are less accurate than the performance of a control group, which may because the haptic feedback of these two tasks is harder to distinguish than the visual information. Simulated driving is also helpful in improving the design of in-vehicle interactive devices. The paper summarizes the ergonomics characteristics of three in-vehicle interactive devices. And the research provides a reference for the future design of in-vehicle interactive devices through an ergonomic approach to ensure a good interaction relationship between the driver and the in-vehicle service system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20factors" title="human factors">human factors</a>, <a href="https://publications.waset.org/abstracts/search?q=industrial%20ergonomics" title=" industrial ergonomics"> industrial ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20system" title=" transportation system"> transportation system</a>, <a href="https://publications.waset.org/abstracts/search?q=usability" title=" usability"> usability</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20user%20interface" title=" vehicle user interface"> vehicle user interface</a> </p> <a href="https://publications.waset.org/abstracts/111147/application-of-industrial-ergonomics-in-vehicle-service-system-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111147.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">139</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">2641</span> Optimal Trajectories for Highly Automated Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christian%20Rathgeber">Christian Rathgeber</a>, <a href="https://publications.waset.org/abstracts/search?q=Franz%20Winkler"> Franz Winkler</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaoyu%20Kang"> Xiaoyu Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Steffen%20M%C3%BCller"> Steffen Müller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this contribution two approaches for calculating optimal trajectories for highly automated vehicles are presented and compared. The first one is based on a non-linear vehicle model, used for evaluation. The second one is based on a simplified model and can be implemented on a current ECU. In usual driving situations both approaches show very similar results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trajectory%20planning" title="trajectory planning">trajectory planning</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20method" title=" direct method"> direct method</a>, <a href="https://publications.waset.org/abstracts/search?q=indirect%20method" title=" indirect method"> indirect method</a>, <a href="https://publications.waset.org/abstracts/search?q=highly%20automated%20driving" title=" highly automated driving"> highly automated driving</a> </p> <a href="https://publications.waset.org/abstracts/22622/optimal-trajectories-for-highly-automated-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22622.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">533</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">2640</span> Simulation Research of City Bus Fuel Consumption during the CUEDC Australian Driving Cycle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Kacejko">P. Kacejko</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Wendeker"> M. Wendeker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fuel consumption of city buses depends on a number of factors that characterize the technical properties of the bus and driver, as well as traffic conditions. This parameter related to greenhouse gas emissions is regulated by law in many countries. This applies to both fuel consumption and exhaust emissions. Simulation studies are a way to reduce the costs of optimization studies. The paper describes simulation research of fuel consumption city bus driving. Parameters of the developed model are based on experimental results obtained on chassis dynamometer test stand and road tests. The object of the study was a city bus equipped with a compression-ignition engine. The verified model was applied to simulate the behavior of a bus during the CUEDC Australian Driving Cycle. The results of the calculations showed a direct influence of driving dynamics on fuel consumption. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Australian%20Driving%20Cycle" title="Australian Driving Cycle">Australian Driving Cycle</a>, <a href="https://publications.waset.org/abstracts/search?q=city%20bus" title=" city bus"> city bus</a>, <a href="https://publications.waset.org/abstracts/search?q=diesel%20engine" title=" diesel engine"> diesel engine</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20consumption" title=" fuel consumption"> fuel consumption</a> </p> <a href="https://publications.waset.org/abstracts/106701/simulation-research-of-city-bus-fuel-consumption-during-the-cuedc-australian-driving-cycle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106701.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">122</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">2639</span> Effects of Low Sleep Efficiency and Sleep Deprivation on Driver Physical Fatigue</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen-Yu%20%20Tsai">Chen-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20%20Liu"> Wen-Te Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen-Chen%20%20Lo"> Chen-Chen Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Kang%20%20Lo"> Kang Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20%20Lin"> Yin-Tzu Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Driving drowsiness related to insufficient or disordered sleep accounts for a major percentage of vehicular accidents. Sleep deprivation is the primary reason related to low sleep efficiency. Nevertheless, the mechanism of sleep deprivation induces driving fatigue to remain unclear. Objective: The objective of this study is to associate the relationship between insufficient sleep efficiency and driving fatigue. Methodologies: The physical condition while driving was obtained from the questionnaires to classify the state of driving fatigue. Sleep efficiency was quantified as the polysomnography (PSG), and the sleep stages were sentenced by the reregistered Technologist during examination in a hospital in New Taipei City (Taiwan). The independent T-test was used to investigate the correlation between sleep efficiency, sleep stages ratio, and driving drowsiness. Results: There were 880 subjects recruited in this study, who had been done polysomnography for evaluating severity for obstructive sleep apnea syndrome (OSAS) as well as completed the driver condition questionnaire. Four-hundred-eighty-four subjects (55%) were classified as fatigue group, and 396 subjects (45%) were served as the control group. The ratio of stage three sleep (N3) (0.032 ± 0.056) in fatigue group were significantly lower than the control group (p < 0.01). The significantly higher value of snoring index (242.14 ± 205.51 /hours) was observed in the fatigue group (p < 0.01). Conclusion: We observe the considerable correlation between deep sleep reduce and driving drowsiness. To avoid drowsy driving, the sleep deprivation, and the snoring events during the sleeping time should be monitored and alleviated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20drowsiness" title="driving drowsiness">driving drowsiness</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20deprivation" title=" sleep deprivation"> sleep deprivation</a>, <a href="https://publications.waset.org/abstracts/search?q=stage%20three%20sleep" title=" stage three sleep"> stage three sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=snoring%20index" title=" snoring index"> snoring index</a> </p> <a href="https://publications.waset.org/abstracts/110120/effects-of-low-sleep-efficiency-and-sleep-deprivation-on-driver-physical-fatigue" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110120.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">146</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">2638</span> Risky Driving Behavior among Bus Driver in Jakarta</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ratri%20A.%20Benedictus">Ratri A. Benedictus</a>, <a href="https://publications.waset.org/abstracts/search?q=Felicia%20M.%20Yolanda"> Felicia M. Yolanda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Public transport is a crucial issue for capital city in developing country, such as Jakarta. Inadequate number and low quality of public transport services resulting personal vehicles as the main option. As a result, traffic jams are getting worse in Jakarta. The low quality of public transport, particularly buses, compounded by the risk behavior of the driver. Traffic accidents involving public bus in Jakarta were often the case, even result in fatality. The purpose of this study is to get a description of risk behavior among the public bus drivers in Jakarta. 132 bus drivers become respondent of this study. Risky Driving Behavior scale of Dorn were used. Data were analyzed using descriptive statistics. 51.5% of respondents felt often showing risky behavior while on driving. The highest type of risky driving behavior is still using the unsafe bus (62%). Followed by trespass the bus line (30%), over speed (21%), violate the road signs (15%) and driving with unhealthy physical condition (4%). Results of this study suggested that high understanding of the bus drivers on their risk behaviors have not lead to the emergence of safe driving behavior. Therefore, together with technical engineering and instrumentation work intervention over this issue, psychological aspects also need to be considered, such as: risk perception, safety attitude,safety culture, locus of control and Fatalism. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bus%20driver" title="bus driver">bus driver</a>, <a href="https://publications.waset.org/abstracts/search?q=psychological%20factors" title=" psychological factors"> psychological factors</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20transportation" title=" public transportation"> public transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=risky%20driving%20behavior" title=" risky driving behavior"> risky driving behavior</a> </p> <a href="https://publications.waset.org/abstracts/41503/risky-driving-behavior-among-bus-driver-in-jakarta" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41503.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">360</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">2637</span> Modelling the Effect of Alcohol Consumption on the Accelerating and Braking Behaviour of Drivers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ankit%20Kumar%20Yadav">Ankit Kumar Yadav</a>, <a href="https://publications.waset.org/abstracts/search?q=Nagendra%20R.%20Velaga"> Nagendra R. Velaga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driving under the influence of alcohol impairs the driving performance and increases the crash risks worldwide. The present study investigated the effect of different Blood Alcohol Concentrations (BAC) on the accelerating and braking behaviour of drivers with the help of driving simulator experiments. Eighty-two licensed Indian drivers drove on the rural road environment designed in the driving simulator at BAC levels of 0.00%, 0.03%, 0.05%, and 0.08% respectively. Driving performance was analysed with the help of vehicle control performance indicators such as mean acceleration and mean brake pedal force of the participants. Preliminary analysis reported an increase in mean acceleration and mean brake pedal force with increasing BAC levels. Generalized linear mixed models were developed to quantify the effect of different alcohol levels and explanatory variables such as driver’s age, gender and other driver characteristic variables on the driving performance indicators. Alcohol use was reported as a significant factor affecting the accelerating and braking performance of the drivers. The acceleration model results indicated that mean acceleration of the drivers increased by 0.013 m/s², 0.026 m/s² and 0.027 m/s² for the BAC levels of 0.03%, 0.05% and 0.08% respectively. Results of the brake pedal force model reported that mean brake pedal force of the drivers increased by 1.09 N, 1.32 N and 1.44 N for the BAC levels of 0.03%, 0.05% and 0.08% respectively. Age was a significant factor in both the models where one year increase in drivers’ age resulted in 0.2% reduction in mean acceleration and 19% reduction in mean brake pedal force of the drivers. It shows that driving experience could compensate for the negative effects of alcohol to some extent while driving. Female drivers were found to accelerate slower and brake harder as compared to the male drivers which confirmed that female drivers are more conscious about their safety while driving. It was observed that drivers who were regular exercisers had better control on their accelerator pedal as compared to the non-regular exercisers during drunken driving. The findings of the present study revealed that drivers tend to be more aggressive and impulsive under the influence of alcohol which deteriorates their driving performance. Drunk driving state can be differentiated from sober driving state by observing the accelerating and braking behaviour of the drivers. The conclusions may provide reference in making countermeasures against drinking and driving and contribute to traffic safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alcohol" title="alcohol">alcohol</a>, <a href="https://publications.waset.org/abstracts/search?q=acceleration" title=" acceleration"> acceleration</a>, <a href="https://publications.waset.org/abstracts/search?q=braking%20behaviour" title=" braking behaviour"> braking behaviour</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20simulator" title=" driving simulator"> driving simulator</a> </p> <a href="https://publications.waset.org/abstracts/103683/modelling-the-effect-of-alcohol-consumption-on-the-accelerating-and-braking-behaviour-of-drivers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103683.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">146</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">2636</span> Evaluation of a Driver Training Intervention for People on the Autism Spectrum: A Multi-Site Randomized Control Trial</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Vindin">P. Vindin</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Cordier"> R. Cordier</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20J.%20Wilson"> N. J. Wilson</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Lee"> H. Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Engagement in community-based activities such as education, employment, and social relationships can improve the quality of life for individuals with Autism Spectrum Disorder (ASD). Community mobility is vital to attaining independence for individuals with ASD. Learning to drive and gaining a driver’s license is a critical link to community mobility; however, for individuals with ASD acquiring safe driving skills can be a challenging process. Issues related to anxiety, executive function, and social communication may affect driving behaviours. Driving training and education aimed at addressing barriers faced by learner drivers with ASD can help them improve their driving performance. A multi-site randomized controlled trial (RCT) was conducted to evaluate the effectiveness of an autism-specific driving training intervention for improving the on-road driving performance of learner drivers with ASD. The intervention was delivered via a training manual and interactive website consisting of five modules covering varying driving environments starting with a focus on off-road preparations and progressing through basic to complex driving skill mastery. Seventy-two learner drivers with ASD aged 16 to 35 were randomized using a blinded group allocation procedure into either the intervention or control group. The intervention group received 10 driving lessons with the instructors trained in the use of an autism-specific driving training protocol, whereas the control group received 10 driving lessons as usual. Learner drivers completed a pre- and post-observation drive using a standardized driving route to measure driving performance using the Driving Performance Checklist (DPC). They also completed anxiety, executive function, and social responsiveness measures. The findings showed that there were significant improvements in driving performance for both the intervention (d = 1.02) and the control group (d = 1.15). However, the differences were not significant between groups (p = 0.614) or study sites (p = 0.842). None of the potential moderator variables (anxiety, cognition, social responsiveness, and driving instructor experience) influenced driving performance. This study is an important step toward improving community mobility for individuals with ASD showing that an autism-specific driving training intervention can improve the driving performance of leaner drivers with ASD. It also highlighted the complexity of conducting a multi-site design even when sites were matched according to geography and traffic conditions. Driving instructors also need more and clearer information on how to communicate with learner drivers with restricted verbal expression. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autism%20spectrum%20disorder" title="autism spectrum disorder">autism spectrum disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20mobility" title=" community mobility"> community mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20training" title=" driving training"> driving training</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a> </p> <a href="https://publications.waset.org/abstracts/125627/evaluation-of-a-driver-training-intervention-for-people-on-the-autism-spectrum-a-multi-site-randomized-control-trial" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125627.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">132</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">2635</span> Evaluation of the Impact of Telematics Use on Young Drivers’ Driving Behaviour: A Naturalistic Driving Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=WonSun%20Chen">WonSun Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Boylan"> James Boylan</a>, <a href="https://publications.waset.org/abstracts/search?q=Erwin%20Muharemovic"> Erwin Muharemovic</a>, <a href="https://publications.waset.org/abstracts/search?q=Denny%20Meyer"> Denny Meyer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Australia, drivers aged between 18 and 24 remained at high risk of road fatality over the last decade. Despite the successful implementation of the Graduated Licensing System (GLS) that supports young drivers in their early phases of driving, the road fatality statistics for these drivers remains high. In response to these statistics, studies conducted in Australia prior to the start of the COVID-19 pandemic have demonstrated the benefits of using telematics devices for improving driving behaviour, However, the impact of COVID-19 lockdown on young drivers’ driving behaviour has emerged as a global concern. Therefore, this naturalistic study aimed to evaluate and compare the driving behaviour(such as acceleration, braking, speeding, etc.) of young drivers with the adoption of in-vehicle telematics devices. Forty-two drivers aged between 18 and 30 and residing in the Australian state of Victoria participated in this study during the period of May to October 2022. All participants drove with the telematics devices during the first 30-day. At the start of the second 30-day, twenty-one participants were randomised to an intervention group where they were provided with an additional telematics ray device that provided visual feedback to the drivers, especially when they committed to aggressive driving behaviour. The remaining twenty-one participants remined their driving journeys without the extra telematics ray device (control group). Such trustworthy data enabled the assessment of changes in the driving behaviour of these young drivers using a machine learning approach in Python. Results are expected to show participants from the intervention group will show improvements in their driving behaviour compared to those from the control group.Furthermore, the telematics data enable the assessment and quantification of such improvements in driving behaviour. The findings from this study are anticipated to shed some light in guiding the development of customised campaigns and interventions to further address the high road fatality among young drivers in Australia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20behaviour" title="driving behaviour">driving behaviour</a>, <a href="https://publications.waset.org/abstracts/search?q=naturalistic%20study" title=" naturalistic study"> naturalistic study</a>, <a href="https://publications.waset.org/abstracts/search?q=telematics%20data" title=" telematics data"> telematics data</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20drivers" title=" young drivers"> young drivers</a> </p> <a href="https://publications.waset.org/abstracts/158415/evaluation-of-the-impact-of-telematics-use-on-young-drivers-driving-behaviour-a-naturalistic-driving-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158415.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">124</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=simulated%20driving&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=simulated%20driving&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=simulated%20driving&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=simulated%20driving&page=5">5</a></li> <li class="page-item"><a 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