Construction and Robustness Verification of Driver Model considering Variation of Driving Behavior

Abstract

In recent times, there has been extensive research and development of Advanced Driver Assistance Systems (ADAS), enabling drivers to experience an increase in driving safety and convenience. Personalization of such assistance systems is crucial to ensure ease of use for the driver, otherwise, the system may become inconvenient and disabled. Authors constructed a driver model with a dead zone and probabilistic parameters to reproduce the acceptable variation of driving behavior for humans. An evaluation index was proposed to measure the similarity of the distribution of driving behavior, showing the model’s versatility. However, the generality of the obtained model was not verified. This paper tests the robustness of the proposed driver model against the change of the driving condition and the generality of the obtained model.