Communication delay-aware cooperative adaptive cruise control with dynamic network topologies—A convergence of communication and control

Liu Jihong , Zhou Yiqing , Liu Ling

›› 2025, Vol. 11 ›› Issue (1) : 191 -199.

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›› 2025, Vol. 11 ›› Issue (1) : 191 -199. DOI: 10.1016/j.dcan.2023.07.004
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Communication delay-aware cooperative adaptive cruise control with dynamic network topologies—A convergence of communication and control

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Abstract

Wireless communication-enabled Cooperative Adaptive Cruise Control (CACC) is expected to improve the safety and traffic capacity of vehicle platoons. Existing CACC considers a conventional communication delay with fixed Vehicular Communication Network (VCN) topologies. However, when the network is under attack, the communication delay may be much higher, and the stability of the system may not be guaranteed. This paper proposes a novel communication Delay Aware CACC with Dynamic Network Topologies (DADNT). The main idea is that for various communication delays, in order to maximize the traffic capacity while guaranteeing stability and minimizing the following error, the CACC should dynamically adjust the VCN network topology to achieve the minimum inter-vehicle spacing. To this end, a multi-objective optimization problem is formulated, and a 3-step Divide-And-Conquer sub-optimal solution (3DAC) is proposed. Simulation results show that with 3DAC, the proposed DADNT with CACC can reduce the inter-vehicle spacing by 5%, 10%, and 14%, respectively, compared with the traditional CACC with fixed one-vehicle, two-vehicle, and three-vehicle look-ahead network topologies, thereby improving the traffic efficiency.

Keywords

Communication delay / Cooperative adaptive / Cruise control / Network topology / String stability

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Liu Jihong, Zhou Yiqing, Liu Ling. Communication delay-aware cooperative adaptive cruise control with dynamic network topologies—A convergence of communication and control. , 2025, 11(1): 191-199 DOI:10.1016/j.dcan.2023.07.004

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Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant U21A20449; in part by Jiangsu Provincial Key Research and Development Program under Grant BE2021013-2.

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