Effects of lead time of verbal collision warning messages on driving behavior in connected vehicle settings.
Under the connected vehicle environment, vehicles will be able to exchange traffic information with roadway infrastructure and other vehicles. With such information, collision warning systems (CWSs) will be able to warn drivers with potentially hazardous situations within or out of sight and reduce collision accidents. The lead time of warning messages is a crucial factor in determining the effectiveness of CWSs in the prevention of traffic accidents. Accordingly, it is necessary to understand the effects of lead time on driving behaviors and explore the optimal lead time in various collision scenarios.



The present driving simulator experiment studied the effects of controlled lead time at 16 levels (predetermined time headway from the subject vehicle to the collision location when the warning message broadcasted to a driver) on driving behaviors in various collision scenarios.



Maximum effectiveness of warning messages was achieved when the controlled lead time was within the range of 5s to 8s. Specifically, the controlled lead time ranging from 4s to 8s led to the optimal safety benefit; and the controlled lead time ranging from 5s to 8s led to more gradual braking and shorter reaction time. Furthermore, a trapezoidal distribution of warning effectiveness was found by building a statistic model using curve estimation considering lead time, lifetime driving experience, and driving speed.



The results indicated that the controlled lead time significantly affected driver performance.



The findings have implications for the design of collision warning systems.
Department of Industrial and System Engineering, University at Buffalo, the State University of New York, Buffalo, NY, USA.
Jingyan
J
Wan
Department of Industrial and System Engineering, University at Buffalo, the State University of New York, Buffalo, NY, USA. Electronic address: changxu.wu@gmail.com.
Changxu
C
Wu
Department of Industrial and System Engineering, University at Buffalo, the State University of New York, Buffalo, NY, USA.
Yiqi
Y
Zhang
D000056:Accident Prevention / Q000295:instrumentation*; D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D001334:Automobile Driving; D005260:Female; D006801:Humans; D008297:Male; D017751:Safety Management / Q000379:methods*; D013997:Time Factors; D014481:United States; D055815:Young Adult
Collision warning message; Connected vehicles; Driving behavior; Driving performance; Lead time