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

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.