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Development of Driving Simulation Platform for Virtual Track Train
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Zhengyang WAN, Hechao ZHOU, Jimin ZHANG
Urban Rapid Rail Transit | 2025, 38(2) : 31 - 38
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Urban Rapid Rail Transit | 2025, 38(2): 31-38
• Forum of Rapid Rail Transit •
Development of Driving Simulation Platform for Virtual Track Train
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Zhengyang WAN, Hechao ZHOU, Jimin ZHANG
Affiliations
  • Institute of Rail Transit Tongji University Shanghai 201804
Published: 2025-04-01 doi: 10.3969/j.issn.1672-6073.2025.02.005
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The Virtual track train (VTT) has been put into commercial operation as a new type of urban rail transport in China in recent years. To further understand VTT's operational performance, it is essential to develop a specific driving simulation platform to simulate VTT's unique hybrid autonomous/manual driving mode. The main contributions of this paper are as follows: First, a vehicle system dynamics (VSD) model of VTT was established using SIMPACK. Additionally, the control module for simulating the hybrid autonomous/manual driving mode of VTT was developed based on model predictive control and Logitech driving simulation hardware. Furthermore, a driving scene visualization interface was established using Unreal Engine and Blender to simulate the real driving environment. These components form a comprehensive simulation platform for the VTT. Simulation results demonstrate that the developed platform can effectively and accurately simulate the operational performance of the VTT under various driving modes, highlighting its significant engineering value.

virtual track train  /  dynamics model  /  model predictive control  /  driving simulation platform  /  hybrid driving mode
Zhengyang WAN, Hechao ZHOU, Jimin ZHANG. Development of Driving Simulation Platform for Virtual Track Train[J]. Urban Rapid Rail Transit, 2025 , 38 (2) : 31 -38 . DOI: 10.3969/j.issn.1672-6073.2025.02.005
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Year 2025 volume 38 Issue 2
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.02.005
  • Receive Date：2024-03-19
  • Online Date：2025-07-09
  • Published：2025-04-01
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  • Received：2024-03-19
  • Revised：2024-06-11
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    Institute of Rail Transit Tongji University Shanghai 201804
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