考虑前后方车辆行驶状态的ACC系统控制方法*

doi:10.19562/j.chinasae.qcgc.2019.08.002

Abstract

Abstract: In order to enhance traffic efficiency and road utilization ratio, a new artificial potential field is applied to the intelligent control of vehicles under congestion conditions. The both front and rear vehicles are regarded as the centers of two potential fields and a vehicle control system is designed to enable the vehicle to automatically find the best following distance according to the positions and speeds of front and rear vehicles. Based on the research of artificial potential field and vehicle control, a new artificial potential field function and a 3 DOF vehicle dynamics model are used to construct an error preview-based mathematical model for vehicle control, which is then applied to the control of single or multiple vehicles, to achieve automatical adjustment of the distance between vehicles according to the positions and speeds of front and rear vehicles. The time histories of the operation parameters and the resulting force in artificial potential field of vehicle are obtained by simulation, verifying the effectiveness of adaptive cruise control scheme proposed

Key words: traffic engineering, adaptive cruise control (ACC), longitudinal control, artificial potential field, artificial intelligent driving

Li Yayong, Cai Yingfeng, Chen Long, Sun Xiaoqiang, He Youguo, Zhang Yunshun. ACC Method Considering Driving State of Front and Rear Vehicles[J].Automotive Engineering, 2019, 41(8): 865-871.

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ACC Method Considering Driving State of Front and Rear Vehicles

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