The dynamic optimization of the departure times of metro users during rush hour in an agent-based simulation: A Case study in Shenzhen, China

Yuliang Xi, Qingyun Du, Biao He, Fu Ren, Yu Zhang, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

Abstract

As serious traffic problems have increased throughout the world, various types of studies, especially traffic simulations, have been conducted to investigate this issue. Activity-based traffic simulation models, such as MATSim (Multi-Agent Transport Simulation), are intended to identify optimal combinations of activities in time and space. It is also necessary to examine commuting-based traffic simulations. Such simulations focus on optimizing travel times by adjusting departure times, travel modes or travel routes to present travel suggestions to the public. This paper examines the optimal departure times of metro users during rush hour using a newly developed simulation tool. A strategy for identifying relatively optimal departure times is identified. This study examines 103,637 person agents (passengers) in Shenzhen, China, and reports their average departure time, travel time and travel utility, as well as the numbers of person agents who are late and miss metro trips in every iteration. The results demonstrate that as the number of iterations increases, the average travel time of these person agents decreases by approximately 4 min. Moreover, the latest average departure time with no risk of being late when going to work is approximately 8:04, and the earliest average departure time with no risk of missing metro trips when getting off work is approximately 17:50.

Original languageEnglish (US)
Article number1102
JournalApplied Sciences (Switzerland)
Volume7
Issue number11
DOIs
StatePublished - Oct 25 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Keywords

  • Agent-based simulation
  • Departure times
  • Dynamic optimization
  • Metro
  • Rush hour
  • Shenzhen

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