A Transfer Optimization Method for Urban Passenger Hub based on Multiple Objectives

Abstract

To improve the transfer efficiency of urban passenger hub, the platforms, stations and transfer routes were expressed as variables based on Graph theory. The calculation methods for passenger transfer time of the routes were developed based on regression model. Conflict level of traffic flow was measured by a weighting model. A bi-level programming model was brought forward, where the upper level was transfer time minimum and the lower level was traffic conflict level minimum. The optimization plan of transfer organization was established based on a compromise model. Taking Chuangchun railway station hub as an example, the required traffic data were collected. The current transfer plan was evaluated and existing problems were found. Then a new transfer plan was proposed based on the optimization model. The linear weighting of transfer time and conflict level was selected as the evaluation index, and the two plans were compared. The results show that the new plan can decrease total conflict by 89.4% and transfer time by 51.5%.