Train Operations Organization in High-Speed Railway Station Considering Variable Configuration

Jingliu Xu, Zhimei Wang, Shangjun Yao and Jiarong Xue
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Jingliu Xu: Traffic and Transportation School, Beijing Jiaotong University, Beijing 100044, China
Zhimei Wang: Traffic and Transportation School, Beijing Jiaotong University, Beijing 100044, China
Shangjun Yao: Traffic and Transportation School, Beijing Jiaotong University, Beijing 100044, China
Jiarong Xue: Traffic and Transportation School, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2022, vol. 14, issue 4, 1-17

Abstract: The train operation problem at the railway station is one of the basic scheduling problems for railway companies, and the decomposition and combination of trains in station platform tracks is an important trend in the railway operation, which further increase the complexity of train routing problem in the high-speed railway station. A reasonable train routing plan is critical for ensuring the safety and efficiency of train operations within the stations. Considering the combination and decomposition process of trains at the station, a multi-objective model is constructed, which determines the receiving routes and departure routes of trains at the railway station with the limited infrastructure capacity, given the station yard layouts, train diagram and relevant technical operation time of the station. A solution framework based on the “constraint method” is designed, and software Gurobi is used to solve the problem. The Pareto optimal solution set is obtained. The results show that when making 1.9% concessions to the minimum route cost, the occupancy balance of platform tracks can be improved by 66.2%, which is taken as the comprehensive application scheme. Compared with the feasible scheme, the comprehensive operation scheme reduces the route cost by 1.9% and improves the occupation balance of platform tracks by 15.4%.

Keywords: high-speed railway; station operation process; variable configuration; model optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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