A New Model of Car Following Behavior Based on Lane Change Effects using Anticipation and Evaluation Idea

This paper aims to investigate a new and intricate behavior of immediate follower during the lane change of leader vehicle. Accordingly, the mentioned situation is a tran ** sient state in car following behavior during which the follower vehicle considerably deviates from conventional car following models for a limited time, which is a complex state including lateral and longitudinal movement simultaneously. Based on closer inspection of microstructure behavior of real drivers, this transient state is divided into two stages of anticipation and evaluation. Afterwards, a novel adaptive neuro-fuzzy model considering human driving factors is proposed to simulate the behavior of real drivers. Comparison of model results and real traffic data shows that the proposed model can describe anticipation and evaluation behavior during a car following behavior with acceptable errors which leads to enhancement of car following applications like driving assistant and collision avoidance systems.