With the increasing quantity of vehicle drivers, traffic safety issues are becoming more prominent. Hazard prediction ability, driving operation ability, stress response ability, and rule recognition ability are important driving abilities and collectively influence the safety of drivers, so testing and evaluating their multiple abilities is essential. This paper designed typical driving scenarios, selected appropriate metrics for characterizing various driving abilities, and conducted simulated driving experiments to collect data. A personalized and differentiated evaluation model for drivers’ multiple abilities is constructed based on multiple layer data envelopment analysis. The results show that the simulated driving scenarios designed in this study can be used for driver safety testing, and the correlation analysis validates the necessity of performing this multi-level evaluation of driving safety. The proposed evaluation method has theoretical guidance and practical application value for driver screening, and the evaluation results can be used to generate personalized and targeted improvement recommendations.
Multi-level Evaluation of a Driver’s Safety Performance Based on Driving Simulation
Lect. Notes Electrical Eng.
International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022
29.09.2024
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Driving safety , Hazard prediction , Driving operation , Stress response , Rule recognition , Multiple layer DEA , Simulated driving Engineering , Transportation Technology and Traffic Engineering , Computational Intelligence , Automotive Engineering , Energy Policy, Economics and Management , Mechanical Engineering
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