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Automotive Engineering

Automotive Engineering ›› 2025, Vol. 47 ›› Issue (1): 127-136.doi: 10.19562/j.chinasae.qcgc.2025.01.013

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Effect of Driving Style on Collision Avoidance Parameters in Typical Vehicle-to-Vehicle Collision Scenarios

Yong Han1,2(),Beiyu Huangfu1,Meiting Ye1,Di Pan1,2,He Wu3,Shuiwen Shen1,2   

  1. 1.School of Mechanical and Automotive Engineering，Xiamen Institute of Technology，Xiamen 361024
    2.Fujian Key Laboratory of Advanced Design and Manufacturing of Buses，Xiamen 361024
    3.Pen -Tung Sah Institute of Micro-Nano Science and Technology，Xiamen University，Xiamen 361005
  • Received:2024-06-02 Revised:2024-07-01 Online:2025-01-25 Published:2025-01-17
  • Contact: Yong Han E-mail:Yonghan@xmut.edu.cn

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Abstract:

In order to study the relationship between driver style， collision avoidance parameters and collision avoidance rate in vehicle-vehicle collision accidents to improve driving safety， in the paper five typical scenarios are analyzed by clustering videos of 610 real accidents in the Vehicle-Vehicle Traffic Accident database （VV-TRAVi， Vehicle-Vehicle Traffic Accident database with Video）. Among them， intersections account for the largest proportion， mainly divided into two typical collision scenarios with and without visual obstacles， based on the six-degree-of-freedom driving simulator to dynamically build the above two typical collision scenarios at intersections. Through questionnaire survey， principal component analysis and K-mean clustering， the driving styles are classified into aggressive， normal and cautious， with 60 volunteers of the three driving styles recruited to collect experimental data under the two typical collision scenarios constructed. The collision avoidance parameters under the three styles are extracted from the 92 sets of valid data samples： TTC （time-to-collision）， BRT （braking reaction time）， speed and longitudinal deceleration， and the effect of the three driving styles on the above collision avoidance parameters are analyzed using one-way ANOVA and independent samples t-test. The results show that the TTC， BRT， speed and longitudinal deceleration of the three driving styles show significant differences in the two typical collision scenarios with and without visual obstacles. Among them， the mean values （s） of the TTC for the aggressive， normal and cautious styles are 0.54 and 1.21， 0.59 and 1.33， and 1.01 and 2.58， and those of the BRT are 1.12 and 0.9， 1.32 and 1.3， and 1.6 and 1.56， respectively， both of which show a sequential increasing trend； the mean speed （km/h） values are 37.53 and 45.03， 30.37 and 34.93， and 27.62 and 30.37， respectively， and the mean longitudinal deceleration （m/s2） values are 9.38 and 9.13， 6.2 and 5.6， and 3.92 and 3.66， respectively. Both of them show a decreasing trend. The crash avoidance rates of the three driving styles are "Cautious > Normal > Aggressive". The results of the study provide a reference for the development of vehicle crash avoidance strategies that take driving styles into account.

Key words: vehicle-vehicle collision, accident scenario, driving styles, crash avoidance, volunteer experiment