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Automotive Engineering ›› 2022, Vol. 44 ›› Issue (9): 1339-1349.doi: 10.19562/j.chinasae.qcgc.2022.09.005

Special Issue: 智能网联汽车技术专题-感知&HMI&测评2022年

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Determination Method of Forward Collision Warning Indicator and Threshold Based on Drivers’ Car-Following Characteristics

Wenmin Long,Guangquan Lu(),Xi Shi,Haitian Tan   

  1. School of Transportation Science and Technology,Beihang University,Beijing  102206
  • Received:2022-04-02 Revised:2022-04-24 Online:2022-09-25 Published:2022-09-21
  • Contact: Guangquan Lu E-mail:lugq@buaa.edu.cn

Abstract:

In order to more reasonably select the forward collision warning indicator and set the personalized warning threshold for different drivers, a comprehensive evaluation method of forward collision warning indicator is proposed based on signal detection theory and rank sum ratio method, achieving the on-line identification and updating of driver’s response time based on vehicle following data. Natural driving experiments are carried out to collect driving behaviors data in urban traffic environment for verifying the effectiveness of on-line identification of driver’s response time. Furthermore, the personalized warning thresholds for different drivers are obtained through the statistical analysis and identification. The comprehensive comparison and analysis on the different warning indicator thresholds obtained show that among 6 forward collision warning indicators, safety margin is the best, risk perception factor the next, the rank sum ratio follows the order of reciprocal time to collision > time headway > warning coefficient, while the evaluation results of time margin fluctuate greatly.

Key words: traffic engineering, following behavior, forward collision warning, signal detection theory, warning indicators