Enhance Stability of Traffic Flow in an Extended Car-Following Model Based on Anticipative Information

Abstract

An extended car-following model is proposed by incorporating the anticipative information by vehicle to vehicle. The stability condition of the proposed model is obtained by using the linear stability theory. The results show that the anticipative information can promote the stability of traffic flow. Numerical simulations are carried out, and the results are consonant with the theory ones.