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.
Recommended Citation
He, Bisheng; Chen, Peng; Zhang, Hongxiang; Lu, Gongyuan; and Zhang, Chunhui
(2022)
"Real-time Scheduling Method for Railway Passenger Station Operations Based on Digital Twin,"
Journal of System Simulation: Vol. 34:
Iss.
10, Article 3.
DOI: 10.16182/j.issn1004731x.joss.21-0502
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss10/3
First Page
2130
Revised Date
2021-08-13
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0502
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.
DOI
10.16182/j.issn1004731x.joss.21-0502
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons