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

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.