Crash probability estimation via quantifying driver hazard perception
| Autor: | Yang Li, Kenji Kodaka, Keqiang Li, Jianqiang Wang, Yang Zheng |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Risk
Automobile Driving China Technology Engineering Databases Factual Deceleration Poison control Human Factors and Ergonomics Hazard perception Crash Reduction (complexity) 0502 economics and business Reaction Time Humans Distracted driving Attention 0501 psychology and cognitive sciences Safety Risk Reliability and Quality 050107 human factors Collision avoidance Simulation 050210 logistics & transportation Probability estimation business.industry Protective Devices 05 social sciences Accidents Traffic Public Health Environmental and Occupational Health Awareness Collision Motor Vehicles Distracted Driving Perception Safety business |
| Zdroj: | Accident Analysis & Prevention. 116:116-125 |
| ISSN: | 0001-4575 |
| DOI: | 10.1016/j.aap.2017.05.009 |
| Popis: | Crash probability estimation is an important method to predict the potential reduction of crash probability contributed by forward collision avoidance technologies (FCATs). In this study, we propose a practical approach to estimate crash probability, which combines a field operational test and numerical simulations of a typical rear-end crash model. To consider driver hazard perception characteristics, we define a novel hazard perception measure, called as driver risk response time, by considering both time-to-collision (TTC) and driver braking response to impending collision risk in a near-crash scenario. Also, we establish a driving database under mixed Chinese traffic conditions based on a CMBS (Collision Mitigation Braking Systems)-equipped vehicle. Applying the crash probability estimation in this database, we estimate the potential decrease in crash probability owing to use of CMBS. A comparison of the results with CMBS on and off shows a 13.7% reduction of crash probability in a typical rear-end near-crash scenario with a one-second delay of driver's braking response. These results indicate that CMBS is positive in collision prevention, especially in the case of inattentive drivers or ole drivers. The proposed crash probability estimation offers a practical way for evaluating the safety benefits in the design and testing of FCATs. |
| Databáze: | OpenAIRE |
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