Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon

doi:10.16182/j.issn1004731x.joss.20-0976

Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (5): 1025-1032.doi: 10.16182/j.issn1004731x.joss.20-0976

• Modeling Theory and Methodology • Previous Articles Next Articles

Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon

Yangsheng Jiang^1,^2,³(), Sichen Wang^1,², Kuan Gao^1,², Meng Liu^1,², Zhihong Yao^1,^2,³()

^1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
^2.National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 611756, China
^3.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China

Received:2020-12-07 Revised:2020-12-15 Online:2022-05-18 Published:2022-05-25
Contact: Zhihong Yao E-mail:jiangyangsheng@swjtu.cn;zhyao@swjtu.edu.cn

Abstract

Abstract:

To solve the existing cellular automata model of automatic-manual driving that does not consider the behavior of vehicle platoon, a cellular automata model of mixed traffic flow with the intelligent connected vehicles platoon is proposed, and the characteristics of mixed traffic flow are analyzed. The existing car-following behaviors in mixed traffic flow are analyzed. Based on the characteristics of the car-following behaviors, the cellular automata rules of human-driven vehicles (HDV), adaptive cruise control (ACC), and cooperative adaptive cruise control (CACC) are developed, respectively. Based on the numerical simulation experiments, the mixed traffic flow characteristics and congestion conditions are analyzed under different intelligent networked vehicle penetration rates. The result shows that with intelligent connected vehicles, the road capacity and average vehicle speed can be improved significantly, and traffic congestion can be alleviated effectively.

Key words: intelligent connected vehicles’ platoon, traffic flow characteristics, cellular automata model, mixed traffic flow, penetration rate

CLC Number:

TP391.9

Yangsheng Jiang, Sichen Wang, Kuan Gao, Meng Liu, Zhihong Yao. Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon[J]. Journal of System Simulation, 2022, 34(5): 1025-1032.

Figures/Tables 5

References 19

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渗透率	拥堵比例	减少百分比
0	69.12	0
20	66.18	4.25
40	60.01	13.18
60	51.99	24.78
80	38.74	43.95
100	0	100	%

Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon

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