Study on comprehensive utilization of high-speed railway hub stations
To make comprehensive use of the passenger transportation resources in a high-speed railway hub,this study explores the division of labor among passenger stations within a high-speed railway hub.Herein,a multiobjective programming model was developed with the objectives of minimizing the total train operation time and coordinating the capacities of the stations in the hub.The augmented ε-constraint algorithm was used to solve the approximate nondominated frontier of the model.Using the Zhengzhou high-speed railway hub as a case study,the differences between the existing plan and the optimized plan and their adaptabilities were qualitatively and quantitatively compared to validate the feasibility and effectiveness of the proposed model and algorithm.The results show that the augmented ε-constraint algorithm can identify high-quality representative nondominated solutions for the proposed model.Moreover,the optimized plan can reduce the train operation time within the hub and enhance the coordination of station capacity utilization.Thus,this study provides reliable references and reasonable suggestions for decision-making regarding capacity expansion,transformation,and optimization of high-speed railway hub areas.
railway transportationcapacity utilizationmulti-objective optimizationhigh-speed railway hubdivision of labor among stations
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