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.


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    Title :

    Multi-level Evaluation of a Driver’s Safety Performance Based on Driving Simulation


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Guo, Hongwei (editor) / Jiang, Xiaobei (editor) / Shi, Jian (editor) / Sun, Dongxian (editor) / Zhou, Yaodi (author) / Bao, Qiong (author) / Zhai, Zegang (author) / Shen, Yongjun (author)

    Conference:

    International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022



    Publication date :

    2024-09-29


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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