Safe distance model and improved consensus control algorithm for virtual coupling of high-speed train

Runze He; Yadong Zhang

doi:10.1117/12.2668758

16 February 2023 Safe distance model and improved consensus control algorithm for virtual coupling of high-speed train

Runze He, Yadong Zhang

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125913N (2023) https://doi.org/10.1117/12.2668758
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

Virtual coupling is an innovative train control mode, which enables trains to track at very small headway and significantly improve the transport capacity. However, such small headways are challenges to safety and control system. To ensure the safe operation of virtual coupling and reduce the risk of collision accidents, this research proposed a refined virtual coupling train safe distance model and an improved consensus control algorithm. Firstly, the virtual coupling emergency braking process is analyzed while considering the processing of information transferring and on-board equipment handling in the scene. A refined safe distance model with higher safety is proposed based on the analysis. Secondly, an improved multi-agent information consensus distance control algorithm for virtual coupling is proposed. The improvement makes the algorithm consider both the convergence speed and coupling stability effectively, is adaptive for various virtual coupling scenes. Thirdly, real train data and rail line data are imported, and train dynamic model is established to verify the convergence ability and adaptability of the proposed algorithm by simulation.

Citation Download Citation

Runze He and Yadong Zhang "Safe distance model and improved consensus control algorithm for virtual coupling of high-speed train", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125913N (16 February 2023); https://doi.org/10.1117/12.2668758

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