Research on Train Interval Optimization of Urban Rail Transit Based on Long and Short Traffic Route Mode

Autor: Xiaojuan Liu, Juanjuan He, Bochao Wei
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Communications, Information System and Computer Engineering (CISCE).
Popis: Optimization of train interval in urban rail transit is an significant means to improve service level, In order to realize the rational optimization and configuration of urban rail passenger flow and train number, an optimization scheme of urban rail train interval based on improved Fruit Fly Optimization Algorithm is proposed. The optimization model of the urban rail train interval is established by using the train departure interval as the decision variable, the upper and lower limit and the train full load rate as the constraints, and the driving distance of trains in whole day and the shortest waiting time of all arriving passengers as the optimization targets. Based on the simulation experiment of historical passenger flow data of Hangzhou metro, the validity of the model and algorithm is verified.
Databáze: OpenAIRE