To study the relationship between driver style, and collision avoidance parameters in vehicle-to-vehicle collisions for improving driving safety, this paper conducts cluster analysis of 610 real accident videos from the VV - TRA Vi (Vehicle-Vehicle TRaffic Accident database with Video) database to identify five typical scenarios. Among these, intersections account for the largest proportion, primarily divided into two typical collision scenarios: with and without visual obstructions. Using a six-degree-of-freedom driving simulator, these two typical intersection collision scenarios are dynamically constructed. Through questionnaires, principal component analysis, and K-means clustering, driving styles are classified into aggressive, normal, and cautious types. Sixty volunteers representing these three driving styles were recruited to collect experimental data under the two constructed typical collision scenarios. From 92 valid data samples, collision avoidance parameters such as TTC (Time-to-Collision), BRT (Braking Reaction Time), speed, and longitudinal deceleration were extracted for each driving style. Single-factor ANOVA (Analysis of Variance) and independent samples T -tests were used to analyze the impact of these driving styles on the aforementioned collision avoidance parameters. The results show significant differences in TTC, BRT, speed, and longitudinal deceleration across the three driving styles in both types of intersection collision scenarios, with and without visual obstructions. The mean TTC (in seconds) for aggressive, normal, and cautious drivers were 0.54 and 1.21, 0.59 and 1.33, and 1.01 and 2.58, respectively, showing a sequential increase. The mean BRT (in seconds) were 1.12 and 0.9, 1.32 and 1.3, and 1.6 and 1.56, respectively, also showing a sequential increase. The mean speeds (in km/h) were 37.53 and 45.03, 30.37 and 34.93, and 27.62 and 30.37, respectively, while the mean longitudinal deceleration values (in km/h) were 9.38 and 9.13, 6.2 and 5.6, and 3.92 and 3.66, respectively, both showing a sequential decrease. The findings provide a reference for formulating vehicle collision avoidance strategies that take driving styles into consideration.
Effect of Driving Style on Collision Avoidance Parameters in Typical Vehicle-to-Vehicle Collision Scenarios
25.10.2024
1556811 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
VEHICLE COLLISION AVOIDANCE DEVICE AND VEHICLE COLLISION AVOIDANCE METHOD
Europäisches Patentamt | 2018
|Europäisches Patentamt | 2019
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