Research on carrying capacity of the high-speed rail station based on multi-objective optimization and simulation verification

Abstract

With the rapid construction of China's high-speed rail, the gradual improvement of network layout, and the increasing track connections in the station, issues emerge such as the difficulty in selecting the stop train strategy of the station and the ambiguity of checking the calculation of station carrying capacity. In view of this situation, a carrying capacity calculation model based on multi-objective optimization and simulation verification is proposed for the railroad station integration scheme. Firstly, a multi-objective optimization calculation model is constructed to determine the objective function and constraints related to the issues. Secondly, the train tracking scenario simulation is applied and realized, and then the train operation plan is inferred based on the algorithm to realize the construction of the simulation environment for the cluster operation of the EMU. Finally, a high-speed railway intermediate station in southern China is taken as the simulation target, and the track connection scheme of the station is used as the simulation basis, so as to map the line information and abstract it for verification based on the real railroad network environment and station equipment data. The test results show that the multi-objective optimization and simulation verification model can effectively help develop a reasonable stop train strategy for the station and thereby obtain the station carrying capacity.