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Shuanfeng Zhao, Guodong Han, Qingqing Zhao and Pei Wei
The method proposed in our paper is mainly applied in the intelligent driving fields. At present, our method can filter out useless information that is captured by vision sensors and reduce the complexity of visual information processing in the intellige...
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Taleb M. Al-Rousan, Abdullahi A. Umar, Aslam A. Al-Omari, Yahia A. Khalaylah, Hamza M. Alkuime and Ayoub H. Al-Rousan
Distracting activities while driving are common and can result in errors that threaten road users? safety. The main objectives of this study were to investigate drivers? perspectives of the factors contributing to distraction, determine the relative rank...
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Yke Bauke Eisma, Dirk J. Eijssen and Joost C. F. de Winter
This study explores how drivers of an automated vehicle distribute their attention as a function of environmental events and driving task instructions. Twenty participants were asked to monitor pre-recorded videos of a simulated driving trip while their ...
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Eleni Misokefalou, Fanis Papadimitriou, Pantelis Kopelias, Nikolaos Eliou
Pág. 771 - 782
Over the last years, distracted driving possesses a leading position among accident causes and it constitutes an increasing road safety problem with disastrous results. Considering external factors of distraction as highly significant, they can be groupe...
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Lubo? Nouzovský, Pavel Vrtal, Tomá? Kohout and Zdenek Svatý
The paper focuses on road safety assessment. The main objective was to assess the impact of different types and sizes of advertising devices as a potential distraction for drivers. Distraction of driver?s attention in real traffic was evaluated using the...
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Marlene Susanne Lisa Scharfe-Scherf, Sebastian Wiese and Nele Russwinkel
The development of highly automated driving requires dynamic approaches that anticipate the cognitive state of the driver. In this paper, a cognitive model is developed that simulates a spectrum of cognitive processing and the development of situation aw...
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Wenbin Xiang, Xuncheng Wu, Chuanchang Li, Weiwei Zhang and Feiyang Li
this study proposes a new fatigue driving detection model based on the combination of 3D convolution and attention mechanism, which can evaluate the driver?s fatigue state, reduce the accident rate and ensure the driver?s safety.
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Pasquale Sena, Matteo d?Amore, Maria Antonella Brandimonte, Rolando Squitieri, Anita Fiorentino
Pág. 4410 - 4419
Distraction has the potential to degrade driving performance and may have serious consequences for road safety. There is a number of research in this area and most studies concentrate on perception errors as a result of visual distraction, so much so tha...
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Lidong Tan, Zhaohui Feng, Hongli Zheng, Zongwei Yao, Xiaohui Weng, Fangrong Wang and Zhiyong Chang
Gas detection in enclosed cabins is a challenging concern in the industry to ensure the safety of cabin operations and personnel driving. There has been a growing development in the detection of safety in enclosed cabin operations based on volatile organ...
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Vladimir Rassokha, Vladimir Isaychev
Pág. 544 - 549
The article examines the possibility of decreasing driver fatigue and work intensity influencing the traffic safety and road accident prevention, with the focus on route vehicles operating in the urban cycle. As a tool to solve the task, designs of gearb...
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Noreen McDonald, Louis A. Merlin, Haoting Hu, Joshu Shih, Deborah Cohen, Kelly Evenson, Thomas McKenzie, Daniel Rodriguez
The proportion of teens and young adults with driver?s licenses has declined sharply in many industrialized countries including the United States. Explanations for this decline have ranged from the introduction of graduated driver licensing programs to t...
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Kai Yang, Hongyu Yang, Jianwei Zhang and Rui Kang
To explore the mixed traffic characteristics of vehicles and aircraft on the airport surface and solve the problem of real-time conflict detection at key intersections. According to the actual taxiing procedures and airport control rules in China, this p...
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Mazen Alowish, Yoshiaki Shiraishi, Masami Mohri and Masakatu Morii
The Internet of connected vehicles (IoCV) has made people more comfortable and safer while driving vehicles. This technology has made it possible to reduce road casualties; however, increased traffic and uncertainties in environments seem to be limitatio...
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Maryum Zaigham, Christie Pei-Yee Chin and Jakaria Dasan
Ride-hailing has emerged as one of the progressive sharing economy platforms. As a digital platform, both riders and drivers are critical to achieving sustainable ride-hailing transactions. Previous studies have gained little insight into ride-hailing se...
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Panagiotis Papantoniou, George Yannis, Constantinos Antoniou, Eleonora Papadimitriou, ... John Golias
Pág. 3839 - 3848
Although driver distraction can be considered as part of everyday driving it constitutes a basic contributory factor for increased risk for road accidents internationally. Within this content, cell-phone use and conversation with passenger are two critic...
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