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strategies</title> <meta name="description" content="Search results for: driving strategies"> <meta name="keywords" content="driving strategies"> <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="driving strategies"> <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> 6314</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: driving strategies</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6314</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">367</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">6313</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">459</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">6312</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">188</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">6311</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">176</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">6310</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">517</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">6309</span> Driving Mechanism of Urban Sprawl in Chinese Context from the Perspective of Domestic and Overseas Comparison</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tingke%20Wu">Tingke Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yaping%20Huang"> Yaping Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many cities in China have been experiencing serious urban sprawl since the 1980s, which pose great challenges to a country with scare cultivated land and huge population. Because of different social and economic context and development stage, driving forces of urban sprawl in China are quite different from developed countries. Therefore, it is of great importance to probe into urban sprawl driving mechanism in Chinese context. By a comparison study of the background and features of urban sprawl between China and developed countries, this research establishes an analytical framework for sprawl dynamic mechanism in China. By literature review and analyzing data from national statistical yearbook, it then probes into the driving mechanism and the primary cause of urban sprawl. The results suggest that population increase, economic growth, traffic and information technology development lead to rapid expansion of urban space; defects of land institution and lack of effective guidance give rise to low efficiency of urban land use. Moreover, urban sprawl is ultimately attributed to imperfections of policy and institution. On this basis, this research puts forward several sprawl control strategies in Chinese context. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=China" title="China">China</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20forces" title=" driving forces"> driving forces</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20mechanism" title=" driving mechanism"> driving mechanism</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20institution" title=" land institution"> land institution</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20expansion" title=" urban expansion"> urban expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20sprawl" title=" urban sprawl"> urban sprawl</a> </p> <a href="https://publications.waset.org/abstracts/102763/driving-mechanism-of-urban-sprawl-in-chinese-context-from-the-perspective-of-domestic-and-overseas-comparison" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102763.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">179</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">6308</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">59</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">6307</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">188</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">6306</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">492</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">6305</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">170</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">6304</span> Present Status, Driving Forces and Pattern Optimization of Territory in Hubei Province, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tingke%20Wu">Tingke Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Man%20Yuan"> Man Yuan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> “National Territorial Planning (2016-2030)” was issued by the State Council of China in 2017. As an important initiative of putting it into effect, territorial planning at provincial level makes overall arrangement of territorial development, resources and environment protection, comprehensive renovation and security system construction. Hubei province, as the pivot of the “Rise of Central China” national strategy, is now confronted with great opportunities and challenges in territorial development, protection, and renovation. Territorial spatial pattern experiences long time evolution, influenced by multiple internal and external driving forces. It is not clear what are the main causes of its formation and what are effective ways of optimizing it. By analyzing land use data in 2016, this paper reveals present status of territory in Hubei. Combined with economic and social data and construction information, driving forces of territorial spatial pattern are then analyzed. Research demonstrates that the three types of territorial space aggregate distinctively. The four aspects of driving forces include natural background which sets the stage for main functions, population and economic factors which generate agglomeration effect, transportation infrastructure construction which leads to axial expansion and significant provincial strategies which encourage the established path. On this basis, targeted strategies for optimizing territory spatial pattern are then put forward. Hierarchical protection pattern should be established based on development intensity control as respect for nature. By optimizing the layout of population and industry and improving the transportation network, polycentric network-based development pattern could be established. These findings provide basis for Hubei Territorial Planning, and reference for future territorial planning in other provinces. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20forces" title="driving forces">driving forces</a>, <a href="https://publications.waset.org/abstracts/search?q=Hubei" title=" Hubei"> Hubei</a>, <a href="https://publications.waset.org/abstracts/search?q=optimizing%20strategies" title=" optimizing strategies"> optimizing strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20pattern" title=" spatial pattern"> spatial pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=territory" title=" territory"> territory</a> </p> <a href="https://publications.waset.org/abstracts/102788/present-status-driving-forces-and-pattern-optimization-of-territory-in-hubei-province-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102788.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">105</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">6303</span> From Values to Sustainable Actions: A Dual-Theory Approach to Green Consumerism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiyeon%20Kim">Jiyeon Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This conceptual paper examines the psychological drivers of green consumerism and sustainable consumption by integrating the Value-Belief-Norm (VBN) Theory and the Theory of Reasoned Action (TRA). With growing environmental concerns, green consumerism promotes eco-friendly choices such as purchasing sustainable products and supporting environmentally responsible companies. However, there remains a need for research that effectively guides strategies to encourage sustainable behaviors. This paper evaluates VBN Theory’s role in driving pro-environmental behaviors. By incorporating TRA, the paper proposes an enhanced model that improves understanding of the factors driving sustained pro-environmental actions. Focusing on values, beliefs, and norms, this integrated model provides a deeper understanding of the cognitive and motivational factors that influence sustainable consumption. The findings offer valuable theoretical and practical insights for developing strategies to support long-term responsible consumer behavior. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=green%20consumerism" title="green consumerism">green consumerism</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20behavior" title=" sustainable behavior"> sustainable behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=TRA" title=" TRA"> TRA</a>, <a href="https://publications.waset.org/abstracts/search?q=VBN" title=" VBN"> VBN</a> </p> <a href="https://publications.waset.org/abstracts/194664/from-values-to-sustainable-actions-a-dual-theory-approach-to-green-consumerism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194664.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">7</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6302</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">604</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">6301</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">304</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6300</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">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">6299</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">332</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">6298</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">109</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">6297</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">531</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">6296</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">468</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">6295</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">120</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">6294</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">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6293</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">358</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">6292</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">6291</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">6290</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> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6289</span> Investigation of Factors Influencing Perceived Comfort During Take-Over in Automated Driving</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Miriam%20Sch%C3%A4ffer">Miriam Schäffer</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinayak%20Mudgal"> Vinayak Mudgal</a>, <a href="https://publications.waset.org/abstracts/search?q=Wolfram%20Remlinger"> Wolfram Remlinger</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The functions of automated driving will initially be limited to certain so-called Operating Driving Domains (ODD). Within the ODDs, the automated vehicle can handle all situations autonomously. In the event of a critical system failure, the vehicle will establish a condition of minimal risk or offer the driver to take over control of the vehicle. When the vehicle leaves the ODD, the driver is also prompted to take over vehicle control. During automated driving, the driver is legally allowed to perform non-driving-related activities (NDRAs) for the first time. When requested to take over, the driver must return from the NDRA state to a driving-ready state. The driver’s NDRA state may imply the use of items that are necessary for the NDRA or interior modifications. Since perceived comfort is an important factor in both manual and automated driving, a study was conducted in a static driving simulator to investigate factors that influence perceived comfort during the take-over process. Based on a literature review of factors influencing perceived comfort in different domains, selected parameters such as the TOR modality or elements to support handing over the item used for the NDRA to the interior were varied. Perceived comfort and discomfort were assessed using an adapted version of a standardized comfort questionnaire, as well as other previously identified aspects of comfort. The NDRA conducted was Using a Smartphone (playing Tetris) because of its high relevance as a future NDRA. The results show the potential to increase perceived comfort through interior adaptations and support elements. Further research should focus on different layouts of the investigated factors, as well as under different conditions, such as time budget, actions required within the intervention in the vehicle control system, and vehicle interior dimensions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automated%20driving" title="automated driving">automated driving</a>, <a href="https://publications.waset.org/abstracts/search?q=comfort" title=" comfort"> comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=take-over" title=" take-over"> take-over</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20interior" title=" vehicle interior"> vehicle interior</a> </p> <a href="https://publications.waset.org/abstracts/190133/investigation-of-factors-influencing-perceived-comfort-during-take-over-in-automated-driving" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190133.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">18</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">6288</span> The Association between Obstructive Sleep Apnea Syndrome and Driver Fatigue in North Taiwan Urban Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng-Yu%20Tsai">Cheng-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20Liu"> Wen-Te Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen-Chen%20Lo"> Chen-Chen Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20Lin"> Yin-Tzu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Kang%20Lo"> Kang Lo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Driving fatigue related to inadequate or disordered sleep accounts for a major percentage of traffic accidents. Obstructive sleep apnea syndrome (OSAS) is a common respiratory disorder during sleep. However, the effects of OSAS severity on driving drowsiness remain unclear. Objective: The aim of this study is to investigate the relationship between OSAS severity and driving fatigue. Methodologies: The physical condition while driving was obtained from the questionnaires to classify the state of driving fatigue. OSAS severity was quantified as the polysomnography, and the mean hourly number of greater than 3% dips in oxygen saturation during examination in a hospital in New Taipei City (Taiwan). The severity of OSAS was diagnosed by the apnea and hypopnea index (AHI) with the American Academy of Sleep Medicine (AASM) guideline. The logistic regression model was used to examine the associations after adjusted age, gender, neck circumstance, waist circumstance, and body mass index (BMI). Results: There were 880 subjects recruited in this study, who had been done polysomnography for evaluating severity for OSAS as well as completed the driver condition questionnaire. 752 subjects were diagnosed with OSA, and 484 subjects had fatigue driving behavior in the past week. Patients diagnosed with OSAS had a 9.42-fold higher odds ratio (p < 0.01, 95% CI = 5.41 – 16.42) of driving drowsiness for cohorts with a normal degree. Conclusion: We observe the considerable correlation between OSAS and driving fatigue. For the purpose of promoting traffic safety, OSAS should be monitored and treated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20syndrome" title="obstructive sleep apnea syndrome">obstructive sleep apnea syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20fatigue" title=" driving fatigue"> driving fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=polysomnography" title=" polysomnography"> polysomnography</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20and%20hypopnea%20index" title=" apnea and hypopnea index"> apnea and hypopnea index</a> </p> <a href="https://publications.waset.org/abstracts/110111/the-association-between-obstructive-sleep-apnea-syndrome-and-driver-fatigue-in-north-taiwan-urban-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110111.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">133</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6287</span> The Integrated Urban Strategies Based on Deep Urban History and Modern Technology Study: Tourism and Leisure Industries as Driving Force to Reactivate Historical Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng%20Li">Cheng Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Jie%20Shen"> Jie Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=Yutian%20Tang"> Yutian Tang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Embracing the upcoming era of urbanization with the challenges of limitation of resources, disappearing cultural identities and conflicts among different groups of stakeholders, new integrated approaches are offered in our urban practice to help decision-makers and stakeholders frame and develop well-conceived, practical strategies for urban developing trajectories to approach urban-level sustainability in multiple social, cultural, ecological dimensions. Through bottom-up participation, we take advantage of tourism and leisure industries as driving forces for urbanization in China to promote integrated sustainable systems, with the hope of approaching both historical and ecological aspects of urban sustainability; and also thanks to top-down participation, we have codes, standards and rules established by the governments to strengthen the implementation of ecological urban sustainability. The results are monitored and evaluated experimentally and multidimensionally and the sustainable systems we constructed with local stakeholder groups turned out to be effective. The presentation of our selected projects would indicate our different focuses on urban sustainability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20sustainability" title="urban sustainability">urban sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20urban%20strategy" title=" integrated urban strategy"> integrated urban strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism%20and%20leisure%20industries" title=" tourism and leisure industries"> tourism and leisure industries</a>, <a href="https://publications.waset.org/abstracts/search?q=history" title=" history"> history</a>, <a href="https://publications.waset.org/abstracts/search?q=modern%20technology" title=" modern technology"> modern technology</a> </p> <a href="https://publications.waset.org/abstracts/47031/the-integrated-urban-strategies-based-on-deep-urban-history-and-modern-technology-study-tourism-and-leisure-industries-as-driving-force-to-reactivate-historical-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47031.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">381</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">6286</span> The Correlation between Eye Movements, Attentional Shifting, and Driving Simulator Performance among Adolescents with Attention Deficit Hyperactivity Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Navah%20Z.%20Ratzon">Navah Z. Ratzon</a>, <a href="https://publications.waset.org/abstracts/search?q=Anat%20Keren"> Anat Keren</a>, <a href="https://publications.waset.org/abstracts/search?q=Shlomit%20Y.%20Greenberg"> Shlomit Y. Greenberg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Car accidents are a problem worldwide. Adolescents’ involvement in car accidents is higher in comparison to the overall driving population. Researchers estimate the risk of accidents among adolescents with symptoms of attention-deficit/hyperactivity disorder (ADHD) to be 1.2 to 4 times higher than that of their peers. Individuals with ADHD exhibit unique patterns of eye movements and attentional shifts that play an important role in driving. In addition, deficiencies in cognitive and executive functions among adolescents with ADHD is likely to put them at greater risk for car accidents. Fifteen adolescents with ADHD and 17 matched controls participated in the study. Individuals from both groups attended local public schools and did not have a driver’s license. Participants’ mean age was 16.1 (SD=.23). As part of the experiment, they all completed a driving simulation session, while their eye movements were monitored. Data were recorded by an eye tracker: The entire driving session was recorded, registering the tester’s exact gaze position directly on the screen. Eye movements and simulator data were analyzed using Matlab (Mathworks, USA). Participants’ cognitive and metacognitive abilities were evaluated as well. No correlation was found between saccade properties, regions of interest, and simulator performance in either group, although participants with ADHD allocated more visual scan time (25%, SD = .13%) to a smaller segment of dashboard area, whereas controls scanned the monitor more evenly (15%, SD = .05%). The visual scan pattern found among participants with ADHD indicates a distinct pattern of engagement-disengagement of spatial attention compared to that of non-ADHD participants as well as lower attention flexibility, which likely affects driving. Additionally the lower the results on the cognitive tests, the worse driving performance was. None of the participants had prior driving experience, yet participants with ADHD distinctly demonstrated difficulties in scanning their surroundings, which may impair driving. This stresses the need to consider intervention programs, before driving lessons begin, to help adolescents with ADHD acquire proper driving habits, avoid typical driving errors, and achieve safer driving. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ADHD" title="ADHD">ADHD</a>, <a href="https://publications.waset.org/abstracts/search?q=attentional%20shifting" title=" attentional shifting"> attentional shifting</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%20movements" title=" eye movements"> eye movements</a> </p> <a href="https://publications.waset.org/abstracts/65630/the-correlation-between-eye-movements-attentional-shifting-and-driving-simulator-performance-among-adolescents-with-attention-deficit-hyperactivity-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65630.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">329</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">6285</span> Driving What’s Next: The De La Salle Lipa Social Innovation in Quality Education Initiatives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dante%20Jose%20R.%20Amisola">Dante Jose R. Amisola</a>, <a href="https://publications.waset.org/abstracts/search?q=Glenford%20M.%20Prospero"> Glenford M. Prospero</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 'Driving What’s Next' is a strong campaign of the new administration of De La Salle Lipa in promoting social innovation in quality education. The new leadership directs social innovation in quality education in the institutional directions and initiatives to address real-world challenges with real-world solutions. This research under study aims to qualify the commitment of the institution to extend the Lasallian quality human and Christian education to all, as expressed in the Institution’s new mission-vision statement. The Classic Grounded Theory methodology is employed in the process of generating concepts in reference to the documents, a series of meetings, focus group discussions and other related activities that account for the conceptualization and formulation of the new mission-vision along with the new education innovation framework. Notably, Driving What’s Next is the emergent theory that encapsulates the commitment of giving quality human and Christian education to all. It directs the new leadership in driving social innovation in quality education initiatives. Correspondingly, Driving What’s Next is continually resolved through four interrelated strategies also termed as the institution's four strategic directions, namely: (1) driving social innovation in quality education, (2) embracing our shared humanity and championing social inclusion and justice initiatives, (3) creating sustainable futures and (4) engaging diverse stakeholders in our shared mission. Significantly, the four strategic directions capture and integrate the 17 UN sustainable development goals, making the innovative curriculum locally and globally relevant. To conclude, the main concern of the new administration and how it is continually resolved, provide meaningful and fun learning experiences and promote a new way of learning in the light of the 21<sup>st</sup> century skills among the members of the academic community including stakeholders and extended communities at large, which are defined as: learning together and by association (collaboration), learning through engagement (communication), learning by design (creativity) and learning with social impact (critical thinking). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DLSL%20four%20strategic%20directions" title="DLSL four strategic directions ">DLSL four strategic directions </a>, <a href="https://publications.waset.org/abstracts/search?q=DLSL%20Lipa%20mission-vision" title=" DLSL Lipa mission-vision"> DLSL Lipa mission-vision</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20what%27s%20next" title=" driving what's next"> driving what's next</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20innovation%20in%20quality%20education" title=" social innovation in quality education"> social innovation in quality education</a> </p> <a href="https://publications.waset.org/abstracts/79501/driving-whats-next-the-de-la-salle-lipa-social-innovation-in-quality-education-initiatives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79501.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">217</span> </span> </div> </div> <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" 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