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Journal of Advanced Transportation
Volume 2017 (2017), Article ID 3097681, 17 pages
https://doi.org/10.1155/2017/3097681
Research Article

Optimized Skip-Stop Metro Line Operation Using Smart Card Data

School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China

Correspondence should be addressed to Xiaobo Liu

Received 4 June 2017; Accepted 14 August 2017; Published 13 November 2017

Academic Editor: Giulio E. Cantarella

Copyright © 2017 Peitong Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Skip-stop operation is a low cost approach to improving the efficiency of metro operation and passenger travel experience. This paper proposes a novel method to optimize the skip-stop scheme for bidirectional metro lines so that the average passenger travel time can be minimized. Different from the conventional “A/B” scheme, the proposed Flexible Skip-Stop Scheme (FSSS) can better accommodate spatially and temporally varied passenger demand. A genetic algorithm (GA) based approach is then developed to efficiently search for the optimal solution. A case study is conducted based on a real world bidirectional metro line in Shenzhen, China, using the time-dependent passenger demand extracted from smart card data. It is found that the optimized skip-stop operation is able to reduce the average passenger travel time and transit agencies may benefit from this scheme due to energy and operational cost savings. Analyses are made to evaluate the effects of that fact that certain number of passengers fail to board the right train (due to skip operation). Results show that FSSS always outperforms the all-stop scheme even when most passengers of the skipped OD pairs are confused and cannot get on the right train.