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In view of the characteristics of the spatiotemporal imbalance of passenger flow in urban rail transit sections, the optimal allocation of resources is realized by considering the train operation mode of organizing multi-group and multi-routing. Taking peak hours as the research object, starting from the perspective of capacity and passenger flow matching, taking the best matching of line capacity and passenger flow as the optimization goal, comprehensively considering the constraints such as full load rate, maximum passing capacity, an optimization model of multi-group and multi-routing plan based on cross-sectional passenger flow differences is established. Taking Nanchang Metro Line 2 as a case study, the passenger flow and capacity analysis are carried out, and the model is used to optimize and solve it. Through comparison, it is found that the optimized operation plan significantly reduces the waste of transportation capacity and saves costs, thus verifying the good optimization effect of the plan obtained by the optimization model.
Wang et al. (Wed,) studied this question.