Author(s)

YEEUN KIM, SEHYUN TAK, SEONGJIN CHOI, HWASOO YEO

Abstract

Driver’s inattention and distraction are one of the main causes of traffic accidents. Therefore, understanding on the driver’s behavior of inattention and distraction gives important implications for improving traffic safety. Previous researches tried to identify the main factors leading to accidents and their impact on traffic accidents. However, it is hard to model and estimate the impact as the drivers’ distraction shows stochastic transitions. In this study, we try to provide a better understanding on the relationship between distraction and vehicle safety and analyze the dynamics of driver vision transitions in both normal driving situation and accident situation. Based on the result, we propose a new car-following model, which can reflect the driver’s dynamic vision transition, which can regenerate the risk situations that the existing car-following models cannot provide. The new model can provide a framework for better understanding on the relationship of traffic accidents and drivers vision transition.

Keywords

vision transition, distraction, naturalistic driving, driver’s distraction based car-following model