Minimizing Metro Transfer Waiting Time with AFCS Data Using Simulated Annealing with Parallel Computing

Xiaobo Liu, Minghua Huang, Hezhou Qu, Steven Chien

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Coordinating train arrivals at transfer stations by altering their departure times can reduce transfer waiting time (TWT) and improve level of service. This paper develops a method to optimize train departure times from terminals that minimizes total TWT for an urban rail network with many transfer stations. To maintain service capacity and avoid operational complexity, dispatching headway is fixed. An integrated Simulated Annealing with parallel computing approach is applied to perform the optimization. To demonstrate model applicability and performance, the Shenzhen metro network is applied, where passenger flows (i.e., entry, transfer, and exit) at stations are approximated with the automatic fare collection system (AFCS) data. Results show that the total TWT can be significantly reduced.

Original languageEnglish (US)
Article number4218625
JournalJournal of Advanced Transportation
Volume2018
DOIs
StatePublished - 2018

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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