Optimization Of Metro Train Timetable For Airport Connection

Because of its large capacity,subway has become an important mode of transportation for the evacuation of airport passenger flow.The connection effect between the timetable of subway trains and the arrival time of airport flights has an important impact on the waiting time of passengers and the transportation service quality of subway.In this paper,based on the passenger flow law of subway lines,the optimization model of subway train schedules connecting airports is constructed,which enriches the methods and theoretical perspectives of subway train schedule optimization,reduces the waiting time of passengers,and improves the passenger service level of subway operating companies.The main research contents and conclusions are as follows:(1)Introduce the concept of subway train timetable,analyze various factors that affect subway train timetable,and finally outline the principles and steps of compiling subway train timetable,which lays a theoretical foundation for the optimization of subway train timetable in the following.(2)Taking flight arrival information as input,the distribution law of passenger flow with time in the process of transferring from airport to subway is analyzed,and this is taken as passenger flow input in the optimization model of subway train schedule.(3)Build an optimization model of subway train timetable with the objective of minimizing the total waiting time of passengers on the whole subway line,and design a doublelayer genetic algorithm including interior point method to solve the problem,so as to improve the efficiency of solution.(4)Taking Dalian Zhoushuizi International Airport and Dalian Metro Line 2 as examples,the departure time of each subway line in the flat peak period and the late peak period of the case is optimized respectively.After optimization,the waiting time of passengers and the maximum passenger flow gathered at the subway stations connected with the airport are reduced to a certain extent,and the optimization effect in the flat peak period is better than that in the late peak period.