Adaptive Cruise Control Strategy with High User Acceptance Based on Psychophysical Model

Abstract

An adaptive cruise control (ACC) strategy with high user acceptance should have similar driving behavior characteristics as the human drivers and meet the expectations of users. In this paper, we proposed a framework of ACC strategy based on the four longitudinal driving modes of Wiedemann psychophysical model, i.e. free driving, approaching, following, and emergency. In order to improve user acceptance, the expectations of ACC user in each mode were discussed and the control strategy of each mode was designed accordingly. Finally, the effect of mixing ACC vehicles with manually driven vehicles was explored in VISSIM. The results showed that with the increase of market penetration of ACC vehicles, the average time of delay and average times of stops as well as the length of queue were reduced notably and the traffic flow was improved to a great extent, especially when the traffic flow was saturated.