Evaluating Passing Capacity in High-Speed Rail Hub Stations: Multi-Objective Optimization for Multi-Directional Train Routes

Hanxiao Zhou (), Leishan Zhou, Binbin Xu and Dong Zou
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Hanxiao Zhou: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
Leishan Zhou: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Binbin Xu: Zhejiang Rail Transit Operation Management Group Co., Ltd., Hangzhou 310020, China
Dong Zou: Zhejiang Rail Transit Operation Management Group Co., Ltd., Hangzhou 310020, China

Sustainability, 2024, vol. 16, issue 23, 1-26

Abstract: This study presents a comprehensive method for calculating the passing capacity of high-speed rail hub stations, accommodating the complexity of intersecting train paths from multiple directions. Unlike traditional models, this approach distinguishes passing capacity by assessing each train path type individually. Employing a multi-objective framework with the NSGA-III algorithm, we seek to identify optimal trade-offs (Pareto front) in station capacity under different cross-line train configurations. Through detailed numerical simulations with both a small-scale model and Jinanxi Railway Station, the methodology demonstrates its validity and effectiveness. This enhanced capacity representation offers critical insights for strategic operational planning and decision-making in managing railway transport systems.

Keywords: high-speed railway hub stations; station passing capacity calculation; multi-objective optimization; station operation plan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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