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Effects of lead time of verbal collision warning messages on driving behavior in connected vehicle settings
Institution:1. Volvo Group Trucks Technology, Advanced Technology and Research, M1.6, 405 08 Göteborg, Sweden;2. Institute for Transport Studies, University of Leeds, LS2 9JT, Leeds, United Kingdom;3. Department of Applied Mechanics, Chalmers University of Technology, 419 96 Göteborg, Sweden;4. Volvo Cars Safety Centre, 418 78 Göteborg, Sweden;1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China;2. School of Transportation Engineering, Tongji University, Shanghai 201804, China;1. Technische Universität Braunschweig, Department of Engineering and Traffic Psychology, Gaußstraße 23, 38106 Braunschweig, Germany;2. Chalmers University of Technology, Department of Applied Mechanics, Division of Vehicle Safety, Accident Prevention Group, Lindholmspiren 3, 41296 Gothenburg, Sweden
Abstract:IntroductionUnder 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.MethodsThe 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.ResultsMaximum effectiveness of warning messages was achieved when the controlled lead time was within the range of 5 s to 8 s. Specifically, the controlled lead time ranging from 4 s to 8 s led to the optimal safety benefit; and the controlled lead time ranging from 5 s to 8 s 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.ConclusionsThe results indicated that the controlled lead time significantly affected driver performance.Practical applicationsThe findings have implications for the design of collision warning systems.
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