Stability and energy consumption of a double flow controlled two-lane traffic system with vehicle-to-infrastructure communication

被引:9
作者
Guo, Xin-Yue [1 ]
Zhang, Geng [1 ]
Jia, Ai -Fang [2 ,3 ]
机构
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing 400715, Peoples R China
[2] Xian Univ Sci & Technol, Coll Safety Sci & Engn, Xian 710054, Peoples R China
[3] Jincheng Inst Technol, Dept Min Engn, Jincheng 048000, Peoples R China
关键词
Vehicle -to -infrastructure communication; Two-lane traffic system; Lyapunov stability; LATTICE HYDRODYNAMIC MODEL; CAR-FOLLOWING MODEL;
D O I
10.1016/j.apm.2023.03.029
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Through vehicle-to-infrastructure communication, the road-side units could collect traffic information of a selected road section and send the refined traffic information to the vehicles on the road after information processing with edge computing servers. To study the impact of traffic information in different road sections on traffic flow, a double flow controlled two-lane traffic system considering vehicle-to-infrastructure communication is introduced in this paper. The new traffic system is analyzed with Lyapunov stability theorem and a sufficient stable condition is provided in linear matrix inequality. Through simulation, the traffic flow evolution properties and energy consumption rules under different control gains and lane changing parameters are exhibited. The results show that traffic congestion and energy consumption of the two-lane traffic system can be suppressed by taking the delayed flow control information, the relative flow control information, and lane changing effect into account. Also, the role of the control strategy on traffic flow is revealed microscopically through a two-lane car-following model by transforming the macroscopic traffic flow to vehicle's velocity. It further proved the stabilization effect of the control information on traffic flow. This research can provide some theoretical guidance for traffic control through vehicle-to-infrastructure information interaction. (c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:98 / 114
页数:17
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