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Journal of System Simulation

Abstract

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.

First Page

2130

Revised Date

2021-08-13

Last Page

2141

CLC

TP391.9

Recommended Citation

Bisheng He, Peng Chen, Hongxiang Zhang, Gongyuan Lu, Chunhui Zhang. Real-time Scheduling Method for Railway Passenger Station Operations Based on Digital Twin[J]. Journal of System Simulation, 2022, 34(10): 2130-2141.

Corresponding Author

Gongyuan Lu,lugongyuan@swjtu.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-0502

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