Train operation simulation and capacity analysis for a high‐speed maglev station

Abstract Focusing on the transportation organization characteristics of the high‐speed maglev station, this article simulates the train operation process based on the train running calculation and the train operation scheme for multi‐type trains, and analyzes the station capacity based on the simulation for multi‐type trains and typical‐layout stations. This study is carried out from the following three perspectives: (i) calculating train running in the train operation process, (ii) calculating the carrying capacity for single‐type trains, and (iii) simulating the train operation scheme at the station. By analyzing the running process and working conditions of a high‐speed maglev train during various operations, a kinematic model for the train running and a simulation method for the technical operation process based on the operation calculation are established. The simulation results for train running calculation are then used to determine the time required and the capacity for the station handing single‐type trains, which is the basis of analyzing multi‐type trains operations. In the simulation for operations of multi‐type trains, three simulation strategies are designed: track selection strategy, route segment lock/unlock strategy, and operation method choosing strategy. The operational process of a high‐speed maglev station under multi‐train and multi‐technology conditions is simulated based on the above strategies, and the capacity utilization of the station is calculated. The capacity utilization characteristics of typical‐layout stations and the recommended layouts for stations under different scenarios are given for capacity analysis and optimization.

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Publication Details

Journal
IET Intelligent Transport Systems
Published
2024-12-18
DOI
https://doi.org/10.1049/itr2.12607
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.00

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article

Train operation simulation and capacity analysis for a high‐speed maglev station

Lianbo Deng, Hengxin Li, E Jing, Yongjun Li et al.
IET Intelligent Transport Systems
Railway Systems and Energy Efficiency
article

Train operation simulation and capacity analysis for a high‐speed maglev station

Lianbo Deng, Hengxin Li, E Jing, Yongjun Li, Ying Zhang
article en

Abstract

Abstract Focusing on the transportation organization characteristics of the high‐speed maglev station, this article simulates the train operation process based on the train running calculation and the train operation scheme for multi‐type trains, and analyzes the station capacity based on the simulation for multi‐type trains and typical‐layout stations. This study is carried out from the following three perspectives: (i) calculating train running in the train operation process, (ii) calculating the carrying capacity for single‐type trains, and (iii) simulating the train operation scheme at the station. By analyzing the running process and working conditions of a high‐speed maglev train during various operations, a kinematic model for the train running and a simulation method for the technical operation process based on the operation calculation are established. The simulation results for train running calculation are then used to determine the time required and the capacity for the station handing single‐type trains, which is the basis of analyzing multi‐type trains operations. In the simulation for operations of multi‐type trains, three simulation strategies are designed: track selection strategy, route segment lock/unlock strategy, and operation method choosing strategy. The operational process of a high‐speed maglev station under multi‐train and multi‐technology conditions is simulated based on the above strategies, and the capacity utilization of the station is calculated. The capacity utilization characteristics of typical‐layout stations and the recommended layouts for stations under different scenarios are given for capacity analysis and optimization.

IET Intelligent Transport SystemsVol. 19(1)
Central South University (CN), Beijing Survey and Design Institute (China) (CN)
China Railway, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 65%
Railway Systems and Energy Efficiency
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