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

Authors

Yangsheng Jiang, 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;Follow
Sichen Wang, 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;
Kuan Gao, 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;
Meng Liu, 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;
Zhihong Yao, 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;Follow

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.

Recommended Citation

Jiang, Yangsheng; Wang, Sichen; Gao, Kuan; Liu, Meng; and Yao, Zhihong (2022) "Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon," Journal of System Simulation: Vol. 34: Iss. 5, Article 9.
DOI: 10.16182/j.issn1004731x.joss.20-0976
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss5/9

First Page

1025

Revised Date

2020-12-15

DOI Link

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

Last Page

1032

CLC

TP391.9

Recommended Citation

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.

Corresponding Author

Zhihong Yao,zhyao@swjtu.edu.cn

DOI

10.16182/j.issn1004731x.joss.20-0976