Fuzzy control of anticipation and evaluation behaviour in real traffic flow

Abstract

Through recent studies, effects of lane change on the car following models have been relatively less studied. This effect is a transient state in car following behaviour during which the Follower Vehicle (FV) considerably deviates from conventional car following models for a limited time. This paper aims to control the behaviour of FV during exiting of Lane Changer (LC) according to the anticipation and evaluation behaviour. According to the latent nature of human driving decisions, data of real drivers is used to design a fuzzy controller for the behaviour vehicle route guidance. Exact inputs are employed to achieve accurate output which is the acceleration of FV. The method is evaluated via simulation experiments, and data of real drivers, which allows to demonstrate the effectiveness of the developed methodology and to highlight the improvement in comfortable drive, safety, and homogenous traffic flow with shorter traffic queues.