Research on Prediction of High-Speed Rail Trains Delay Time

The train delay time prediction is conducive to assisting dispatchers to make the regulation of train diagram, optimize passenger trip-chain, and improve railway network quality and safety. According to the characteristics of delay time distribution, the law of delay propagation and the time limit relationship between adjacent trains is determined. The independent and dependent variables of the train delay prediction model are determined, and the delay prediction model is constructed. The results show that the prediction accuracy of the adjacent arrival and departure delay time prediction model based on Logistic regression can reach more than 59% under 1 min allowable error and 80% under 2-min allowable error. By testing the data of the test set, the predicted value is in good agreement with the size, trend and range of the real value, and has a good prediction effect.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 2129-2141
  • Monograph Title: CICTP 2020: Advanced Transportation Technologies and Development-Enhancing Connections

Subject/Index Terms

Filing Info

  • Accession Number: 01748179
  • Record Type: Publication
  • ISBN: 9780784482933
  • Files: TRIS, ASCE
  • Created Date: Aug 12 2020 3:04PM