关键词: 交通运输工程, 轨道交通, 发车间隔, 运营收益, 车厢空间感知度, 遗传算法

Abstract: The operation income and the passenger compartment space perception of the rail transit system is an opposite relationship. Through the study of these two factors to optimize the departure interval of rail transit, the passenger compartment space perception could be improved within a reasonable income range. Considering the influence of the train’s upstream and downstream direction and the constraint of factors such as passenger waiting time, supply and demand balance, maximum passenger capacity, number of vehicles equipped and the safety interval of train operation, the departure interval optimization model was established, and the genetic algorithm was used to solve the multi-variable nonlinear optimization problem. The optimization schemes of different sub-periods were obtained. The proposed method was applied to optimize and calculate Wuhan Rail Transit Line 4 during different periods of peak hours. It is found that after the adjustment of the transit departure interval, the small decrease of operation income can effectively improve the passenger compartment space perception. Through passenger flow sensitivity analysis, the change law of rail operation income and passenger compartment space perception under the condition of passenger flow increasing to a certain extent is studied, which can provide reference for the decision-making of urban rail train operation.

Key words: traffic and transportation engineering, rail transit, departure interval, operational income, passenger compartment space perception, genetic algorithm