Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (10): 2130-2141.doi: 10.16182/j.issn1004731x.joss.21-0502

• Modeling Theory and Methodology • Previous Articles     Next Articles

Real-time Scheduling Method for Railway Passenger Station Operations Based on Digital Twin

Bisheng He1,2,3(), Peng Chen1, Hongxiang Zhang1, Gongyuan Lu1,2,3(), Chunhui Zhang4   

  1. 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
    2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China
    3.Comprehensive Transportation Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 611756, China
    4.North China Municipal Engineering Design and Resarch Instutute Co. Ltd. , Tianjin 300381, China
  • Received:2021-05-31 Revised:2021-08-13 Online:2022-10-30 Published:2022-10-18
  • Contact: Gongyuan Lu E-mail:bishenghe@swjtu.edu.cn;lugongyuan@swjtu.edu.cn

Abstract:

To improve the operation scheduling of railway passenger stations and reduce the train delays, digital twin technology is used to establish a railway passenger station operation model. Through real-time data acquisition, based on the operation time prediction of random forest method, operation simulation and decision-making, a real-time scheduling method of railway passenger station operations based on digital twin is proposed, and applied in a real railway passenger station. The experimental results show that the method can effectively forecast and simulate the actual operation. Three kinds of digital twin scheduling rules have been used, which can reduce the delay time of train operations. It is proved that the digital twin model can improve the real-time scheduling of operations in the daily management of stations.

Key words: railway transport, real-time scheduling, digital twin, operations, operations delay

CLC Number: