Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability

被引:51
作者
Wang, Jiawei [1 ,2 ]
Zheng, Yang [3 ]
Chen, Chaoyi [1 ,2 ]
Xu, Qing [1 ,2 ]
Li, Keqiang [1 ,2 ]
机构
[1] Tsinghua Univ, Sch Vehicle & Mobil, Beijing 100084, Peoples R China
[2] Tsinghua Univ Didi Joint Res Ctr Future Mobil, Beijing 100084, Peoples R China
[3] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA
基金
中国国家自然科学基金;
关键词
Vehicle dynamics; Topology; Cruise control; Controllability; Perturbation methods; Observability; Numerical stability; Connected and autonomous vehicle; cruise control; mixed traffic flow; controllability; string stability; CONNECTED VEHICLE SYSTEMS; DISTRIBUTED CONTROL; OPTIMIZATION; DYNAMICS; SUBJECT; IMPACT; DELAY;
D O I
10.1109/TITS.2021.3118021
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Connected and autonomous vehicles (CAVs) have great potential to improve road transportation systems. Most existing strategies for CAVs' longitudinal control focus on downstream traffic conditions, but neglect the impact of CAVs' behaviors on upstream traffic flow. In this paper, we introduce a notion of Leading Cruise Control (LCC), in which the CAV maintains car-following operations adapting to the states of its preceding vehicles, and also aims to lead the motion of its following vehicles. Specifically, by controlling the CAV, LCC aims to attenuate downstream traffic perturbations and smooth upstream traffic flow actively. We first present the dynamical modeling of LCC, with a focus on three fundamental scenarios: car-following, free-driving, and Connected Cruise Control. Then, the analysis of controllability, observability, and head-to-tail string stability reveals the feasibility and potential of LCC in improving mixed traffic flow performance. Extensive numerical studies validate that the capability of CAVs in dissipating traffic perturbations is further strengthened when incorporating the information of the vehicles behind into the CAVs' control.
引用
收藏
页码:12861 / 12876
页数:16
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