Virtual Train Operation Platform Based on Digital Twin

doi:10.16182/j.issn1004731x.joss.24-1436

Abstract

Abstract:

In response to the limitations of traditional train operation simulation modeling, such as simplification, lack of adaptive adjustment capability for parameters, and proneness to error accumulation, a virtual train operation platform based on digital twin technology was proposed. A train model under specific railway lines was constructed. By combining with the intelligent operation and maintenance platform of the railway line, real-time train operation data was obtained and preprocessed. The adaptive chaos optimization algorithm was used to optimize the key parameters of train operation simulation online and establish a digital twin model of the railway line. This model adopted a dual-drive mode based on data and models to achieve self-adjusting of train operation simulation parameters, providing a flexible and targeted new modeling method for specific railway lines. The simulationresults show that achieving operational perception and parameter matching based on real information effectively improves the accuracy and credibility of the model simulation results.

Key words: digital twin, urban rail transit, data processing, data drive, train operation simulation

CLC Number:

TP391.9

Wang Ziying, Sun Congjun, Li Guihu, Zhang Tianhao. Virtual Train Operation Platform Based on Digital Twin[J]. Journal of System Simulation, 2026, 38(3): 736-745.

Figures/Tables 12

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设计参数	数值
编组	4动2拖
列车自重/t	220
最大载荷/t	150
轮径/mm	840
最大牵引力/kN	390
最大电制动力/kN	402

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