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Decisions and actions of distracted drivers at the onset of yellow lights
Affiliation:1. Centre for Accident Research & Road Safety (CARRS-Q), and Civil Engineering and Built Environment, Science and Engineering Faculty, Queensland University of Technology, Australia;2. Department of Industrial and Systems Engineering, University of Washington, United States;3. Civil Engineering and Built Environment, Science and Engineering Faculty, and Centre for Accident Research & Road Safety (CARRS-Q), Queensland University of Technology, Australia;4. Department of Industrial & Systems Engineering, Department of Civil & Environmental Engineering, University of Washington, United States;1. Department of Civil, Construction & Environmental Engineering, Iowa State University, Ames, IA 50011, USA;2. Department of Civil & Environmental Engineering, Wayne State University, Detroit, MI 48202, USA;1. Institute of Transport and Logistics Studies, University of Sydney Business School, The University of Sydney, Australia;2. School of Civil Engineering, The University of Queensland, Australia;3. Queensland University of Technology, Science and Engineering Faculty, School of Civil & Environmental Engineering, 2 George St, GPO Box 2434, Brisbane, Qld 4001, Australia;1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;2. Hampton Hall of Civil Engineering G167B, Purdue University, West Lafayette, IN 47907, United States;3. Transportation Research Specialist, Institute for Transportation, Iowa State University, Ames, IA 50010, United States
Abstract:Driving on an approach to a signalized intersection while distracted is relatively risky, as potential vehicular conflicts and resulting angle collisions tend to be relatively more severe compared to other locations. Given the prevalence and importance of this particular scenario, the objective of this study was to examine the decisions and actions of distracted drivers during the onset of yellow lights. Driving simulator data were obtained from a sample of 69 drivers under baseline and handheld cell phone conditions at the University of Iowa – National Advanced Driving Simulator. Explanatory variables included age, gender, cell phone use, distance to stop-line, and speed. Although there is extensive research on drivers’ responses to yellow traffic signals, the examinations have been conducted from a traditional regression-based approach, which do not necessary provide the underlying relations and patterns among the sampled data. In this paper, we exploit the benefits of both classical statistical inference and data mining techniques to identify the a priori relationships among main effects, non-linearities, and interaction effects. Results suggest that the probability of yellow light running increases with the increase in driving speed at the onset of yellow. Both young (18–25 years) and middle-aged (30–45 years) drivers reveal reduced propensity for yellow light running whilst distracted across the entire speed range, exhibiting possible risk compensation during this critical driving situation. The propensity for yellow light running for both distracted male and female older (50–60 years) drivers is significantly higher. Driver experience captured by age interacts with distraction, resulting in their combined effect having slower physiological response and being distracted particularly risky.
Keywords:Distracted driving  Mobile phone  Motion-based driving simulator  Risk compensation  Yellow light  Driver behavior
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