Research on High-speed Train Tracking Simulation Based on Multi-Agent

DOI

10.2991/978-94-6463-610-9_33How to use a DOI?

Keywords

Multi-agent; Multiple train tracking; Quasi-moving block

Abstract

Based on the multi-agent theory, a multi-train tracking model is established. According to the train control system structure and the high-speed train tracking function requirements, the train agent, RBC agent and station agent functional models are defined, and a blackboard communication mechanism is proposed to realize the train-ground information interaction. By simulating the operation of the train in the Beijing South-Jinan West section of the Beijing-Shanghai High-Speed Railway, the train operation curves at different tracking intervals are obtained. The simulation results show that when the tracking interval is smaller, the train operation is affected by the preceding train, and the operation curve is jagged. Based on the train operation data, the tracking interval time of each section of Beijing South-Jinan West is calculated. The results show that the arrival interval time is the main factor affecting the train tracking interval time. The simulation results prove the effectiveness of the simulation method proposed in this paper.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bingquan Sha
AU  - Lei Yuan
AU  - Guodong Wei
PY  - 2024
DA  - 2024/12/16
TI  - Research on High-speed Train Tracking Simulation Based on Multi-Agent
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 298
EP  - 306
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_33
DO  - 10.2991/978-94-6463-610-9_33
ID  - Sha2024
ER  -