Optimization Model of Operation Plan of Urban Single-Line Rail Transit Using Stop-Skip Strategy

It is a new way to deal with unbalanced distribution of passenger flow to adopt the stop-skip scheme. Firstly, this study regards saving passengers’ travel costs and operating expenses as targets, and proposes a bi-objective nonlinear mixed integer programming model with one 0-1 decision variable, which evaluates the costs under different stop-skip schemes. Using the genetic algorithm with the ideal point method, find the optimal scheme under given distribution of passenger flow. Secondly, this study takes the direction of Fenghuangxincun—Wanshengwei on Guangzhou Metro Line 8 as a case for application and verification. Compared with the all-stop plan, it is found that the travel time costs of passengers and the operating expenses were saved by 15.9% and 16.3%. These results show that the model has advantages in terms of saving passengers’ travel costs and operating expenses and speeding up turn-back cycle.