Title: Urban rail transit coordination based on computational experiments

Authors: Xubin Sun; Yue Zhang; Tongxin Gao; Gaoyou Qin; Hairong Dong; Fu Guan

Addresses: School of Electronic and Information Engineering, Beijing Jiaotong University, No. 3, Shang Yuan Cun 100044, Beijing, China ' State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, No. 3, Shang Yuan Cun 100044, Beijing, China ' State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, No. 3, Shang Yuan Cun 100044, Beijing, China ' State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, No. 3, Shang Yuan Cun 100044, Beijing, China ' State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, No. 3, Shang Yuan Cun 100044, Beijing, China ' China Communications Construction Company Limited, No. 85, Deshengmenwai Street 100088, Beijing, China

Abstract: This paper presents a coordination method for subway lines through passenger transfer time computational experiments with artificial transfer stations. The aim of subway lines coordination is minimising passengers' transfer time by tuning train arrival schedules of subway lines at the transfer station. Firstly, the artificial systems of two typical subway transfer stations are established, where the passengers are modelled using social force model. Secondly, computational experiments are executed with the artificial transfer stations taking train arrival time difference of subway lines as the decision variable, which is calculated to minimise passengers' average transfer time in the transfer station. Two type transfer stations are considered in this paper, the average transfer time can be reduced by 5.54% using the optimal coordination solution for subway lines.

Keywords: urban rail transit; subway lines coordination; computational experiments; passenger transfer time; artificial transfer stations; train arrivals; arrivals scheduling; social force model; modelling; China; subway networks; underground networks.

DOI: 10.1504/IJAL.2013.057448

International Journal of Automation and Logistics, 2013 Vol.1 No.1, pp.3 - 21

Received: 02 Nov 2012
Accepted: 14 Jan 2013
Published online: 18 Jul 2014 *

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