A new adaptive cruise control strategy and its stabilization effect on traffic flow

European Transport Research Review

Arvid Aakre¹  Chaoru Lu¹ 

[1] Traffic Engineering Research Center, Department of Civil and Environmental Engineering, Norwegian University of Science and Technology;

关键词: Autonomous vehicle;    Adaptive cruise control;    Traffic flow stability;   

DOI  :  10.1186/s12544-018-0321-9

来源: DOAJ

【 摘 要 】

Abstract Connected and autonomous vehicle (CAV) technologies are likely to be gradually implemented over time. In this paper, an adaptive cruise control, named Smart Driver Model (SDM), is proposed to describe the autonomous vehicles flow. The stability criteria is proposed for SDM to judge the stability of homogeneous traffic flow. Numerical simulations were conducted to verify the results of the theoretical analysis. Single-lane vehicle dynamics in a traffic stream with connected and autonomous vehicles are simulated by varying model parameters. Simulation results are consistent with the results of linear stability analysis. As a result, a set of parameters is proposed to investigate the stabilization effect of the proposed model on homogeneous traffic flow considering realistic driving cycle and cut-in condition. By simulating a platoon with a lead vehicle which follows the Urban Dynamometer Driving Schedule (UDDS), we find out that the proposed model can stabilize the traffic flow with proposed parameters. The results from simulation and linear stability analysis show that SDM outperforms the IDM-ACC and the ACC proposed by Milanés and Shladover in terms of stabilization effect on homogeneous traffic flow. The simulation result shows that the SDM-equipped vehicles are able to stabilize the homogeneous traffic flow under cut-in condition.

【 授权许可】

Unknown