Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (3): 512-526.doi: 10.16182/j.issn1004731x.joss.20-0830

• Modeling Theory and Methodology • Previous Articles     Next Articles

Research on the Simulation Method of Urban Rail Transit Feedback Assignment

Jianpeng Hu1,2(), Xia Luo1,2()   

  1. 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
    2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China
  • Received:2020-10-28 Revised:2020-12-24 Online:2022-03-18 Published:2022-03-22
  • Contact: Xia Luo E-mail:951332900@qq.com;xia.luo@263.com

Abstract:

Based on the characteristics of a large number of transfer routes in rail transit network, an improved depth first search algorithm is proposed to get the effective travel time of transfer routes between stations. Based on passenger entry and exit timing obtained from the automatic fare collection (AFC) data, the connect relationship between passengers and trains in time and route is obtained from the arrival time and route selection behavior of passengers. Considering the difference of route choice behavior between departure passenger and transfer passenger, the two are distinguished from each other. The dynamically updated travel time of the arrived passengers using the transfer path is fed back to the subsequent departure passengersas the basis for the subsequent passenger path selection. The results show that the simulation method can effectively reflect the travel process of passengers and has a high accuracy of passenger allocation.

Key words: urban railway, dynamic flow assignment, schedule, automatic fare collection system (AFC) data

CLC Number: