Modeling and Simulation of Hybrid Traffic Flow Considering the Inherent Dynamics of CACC Vehicular Platoons

Authors

Xiujian Yang, Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
Jingjing Huang, Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
Xi Wang, Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China

Abstract

Abstract: To investigate the characteristics of single-lane mixed traffic flow with the presence of cooperative adaptive cruise control (CACC) vehicle platoons, a modeling approach based on cellular automata is proposed. This method distinguishes between the car-following strategies of human-driven vehicles and CACC vehicles, incorporating dynamic inter-vehicle spacing within the platoon and actual control behaviors to construct a mixed traffic flow model with inherent dynamic properties. The model enables an in-depth analysis of the influence of platoon features, such as geometric formation, carfollowing control strategies, and platoon size, on the characteristics of mixed traffic flow. It also allows us to study the coupling effects between platoon control adjustments and overall traffic flow. The results show that under conditions satisfying both the internal stability and string stability of platoon, increasing the penetration rate of CACC vehicles and reducing time headway can significantly enhance the peak flow of mixed traffic. As the platoon size increases, peak flow exhibits nonlinear variation, traffic flow fluctuations intensify, and uniformity decreases. Compared with ACC platoons, CACC platoons demonstrate stronger capabilities in suppressing traffic disturbances and improving the performance of mixed traffic flow more effectively.

Recommended Citation

Yang, Xiujian; Huang, Jingjing; and Wang, Xi (2025) "Modeling and Simulation of Hybrid Traffic Flow Considering the Inherent Dynamics of CACC Vehicular Platoons," Journal of System Simulation: Vol. 37: Iss. 6, Article 5.
DOI: 10.16182/j.issn1004731x.joss.24-0175
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss6/5

First Page

1388

Last Page

1399

CLC

TP391.9

Recommended Citation

Yang Xiujian, Huang Jingjing, Wang Xi. Modeling and Simulation of Hybrid Traffic Flow Considering the Inherent Dynamics of CACC Vehicular Platoons[J]. Journal of System Simulation, 2025, 37(6): 1388-1399.

DOI

10.16182/j.issn1004731x.joss.24-0175