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A Novel Three-Dimensional Train Safe Braking Model Based on Train-To-Train Communication

  • Beihang University
  • China Railway Signal & Communication Corporation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The flaws of the traditional train safety-braking model in the design of the train-to-train communication train control system are analyzed, and a novel three-dimensional safe braking model based on the dynamic speed of leading and following trains is proposed in order to study the next generation train automatic control system based on train-to-train communication. The envelope surface and space concept of the three-dimensional safe braking model was established, and the envelope space of the three-dimensional safe braking model has been calculated using two leading train strategies: motionless and running. The BP neural network PID control method is used to simulate train tracking performance based on the three-dimensional safety braking model. The simulation results show that the safe operation envelope of the three-dimensional safe braking model of train-to-train communication mode is increased by more than 56.4% compared with the traditional model. Finally, the simulation results have been verified on-site through the Beijing Capital Airport Line, and the shortest 60 m limit tracking distance was successfully achieved.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
EditorsLiang Yan, Haibin Duan, Yimin Deng, Liang Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages394-403
Number of pages10
ISBN (Print)9789811966125
DOIs
StatePublished - 2023
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China
Duration: 5 Aug 2022 → 7 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume845 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2022
Country/TerritoryChina
CityHarbin
Period5/08/22 → 7/08/22

Keywords

  • Neural network
  • Rail transit
  • Safe braking model
  • Safe operation envelope
  • Tracking distance
  • Train-to-Train communication

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