Results 21 to 30 of about 5,150 (254)
Driver distraction detection via multi‐scale domain adaptation network
Distracted driving is the leading cause of road traffic accidents. It is essential to monitor the driver's status to avoid traffic accidents caused by distracted driving.
Jing Wang, ZhongCheng Wu
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Modeling safety risk perception due to mobile phone distraction among four wheeler drivers
Nowadays, there is an increasing trend in the use of information and communication technology devices in new vehicles. Due to these increasing service facilities, driver distraction has become a major concern for transportation safety.
Raghunathan Rajesh +3 more
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As driving error is a main contributory factor of road accidents, its causes and consequences are of great interest in the road safety decision making process.
Panagiotis Papantoniou +2 more
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Distractions external to a vehicle contribute to visual attention diversion that may cause traffic accidents. As a low-cost and efficient advertising solution, billboards are widely installed on side of the road, especially the motorway.
Yongxiang Wang +3 more
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A Roadside Study of Observable Driver Distractions
Objective: This study investigated the prevalence of observable distractions while driving and the effect of drivers’ characteristics and time-related variables on their prevalence.Methods: Using roadside observation, 2 independent observers collected data at 4 randomly selected locations in St. Albans, UK.Results: Of the 10,984 drivers observed, 16.8%
Sullman, Mark J. M. +2 more
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Leading to distraction: Driver distraction, lead car, and road environment [PDF]
Driver distraction is strongly associated with crashes and near-misses, and despite the attention this topic has received in recent years, the effect of different types of distracting task on driving performance remains unclear. In the case of non-visual distractions, such as talking on the phone or other engaging verbal tasks that do not require a ...
Kountouriotis, G, Merat, N
openaire +4 more sources
Driver distraction behavior recognition is crucial for improving driving safety. Traditional end-to-end driver distraction detection models are susceptible to factors such as the driving environment, the in-vehicle background, and the driver ...
Xiaofen Shi
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Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review
Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of vehicle accidents.
Efi Papatheocharous +3 more
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Road traffic injuries and fatalities among drivers distracted by mobile devices
Context: With increasing ownership of mobile devices (i.e., cell phones and smartphones), it is important to better understand the role of these devices in motor vehicle collision (MVC)-related trauma.
Natasa Zatezalo +2 more
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From Attention to Distraction: Driver State Analysis From an Engineering Perspective – A Review
This paper reviews methods for defining, assessing, measuring, and testing driver distraction. It aims to exceed existing literature by integrating insights from interdisciplinary research fields, including engineering, psychology, medicine, and computer
Lorenzo Uccello +3 more
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