Driver's Decision and Control Process During Right-Turning at Intersections (Application of Fuzzy Linguistic Model for Accident Analysis)

This paper aimes to develop a driver model describing driver's decision and control process during right-turning at signalized intersections from the standpoint of Man-Machine Interaction. Based on the results of accident analysis and experiments, a driver model described by Fuzzy Theory, which consists of linguistic If-Then Rules and Membership Functions, is developed to simulate the decision and control process of drivers.

The major results are (1) the right-turning accidents are mainly due to driver errors of recognition or evaluation for opposing-through vehicles, (2) the fuzzy driver model, which consists of membership functions for subjective recognition and judgement and control rules for forward speed, is capable to simulate the real driver behavior, and (3) the characteristics of the driver's fuzziness of vehicular controls are shown by membership functions compared with experimental results.