[Objective] The capacity bottlenecks and parallel operations throughout the full-process of integrated train dispatching from metro vehicle bases are not fully touched in existing section-based dispatching capacity studies. Therefore, it is necessary to focus on the complete process of trains operating from the stabling and inspection garages to the mainline platforms, systematically analyze dispatching capacity bottlenecks, and propose a calculation method for the integrated dispatching capacity of metro vehicle bases during morning peak hours, providing theoretical support for the evaluation and optimization of depot dispatching capabilities. [Method] Based on the section division method, the throat area passing capacity within vehicle depot under train routing and coordinated dispatch-routing modes, as well as the additional train insertion capacity at connection stations under different insertion routes, a detailed capacity calculation model is established by introducing operational timetables and time-distance diagrams. Further analysis is conducted on the capacity bottlenecks of different sections and the parallel operation processes. For both single-track and double-track dispatching scenarios, an integrated dispatching capacity calculation method for metro vehicle bases is proposed. Theoretical calculation results are compared with actual operational data from the Luogang Depot of Guangzhou Metro Line 6 to verify the reliability of the method. [Result & Conclusion] Under the double-track dispatching mode at the above-mentioned depot, the theoretical minimum dispatching interval during morning peaks is 223.6 seconds, corresponding to a maximum dispatching capacity of 17 trains per hour. In actual operation, the observed dispatching headway during morning peaks is 222.6 seconds, with 17 trains dispatched, resulting in a deviation of only 0.45% from the theoretical value, thus verifying the reliability of numerical calculation.
Integrated Train Dispatching Capacity Calculation Method for Metro Vehicle Depot during Morning Peak Hours
2025
Article (Journal)
Electronic Resource
Unknown
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