An investigation of timed transfer coordination using event-based multi agent simulation

While transfers extend transit service coverage by omnidirectional connections, poorly coordinated transfers significantly increase passenger waiting time, especially in case of missed connections. This paper proposes a simulation approach to investigate the feasibilities of different timed transfer strategies in both schedule planning and operational control. In particular, an Event-Based Multi-Agent Simulation (EMAS) model is proposed, that captures the interactions between the transit vehicles, its passengers and the (urban) environment by considering the transit vehicles and passengers as separate classes of agents which interact in a dynamic system. The model is validated by using observed Automatic Vehicle Location (AVL) and Automatic Fare Collection (AFC) data from two routes with transfers in South East Queensland, Australia. EMAS is then used to evaluate different timed transfer strategies for both schedule planning and operational control. The analysis on timed transfers in schedule planning provides valuable insights on the probability of missing a transfer and extra waiting time for transfer. Six different strategies for timed transfers in operational control are thoroughly tested, including an elaborate sensitivity analysis of the effectiveness of the strategies for different levels of transferring demand and schedule headways. This paper assists transit operators to exploit observed AVL and AFC data to augment the transfer coordination quality.

• Record URL:
  https://doi.org/10.1016/j.trc.2017.02.018
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X1730058X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Kieu, Le Minh
  • Bhaskar, Ashish
  • Cools, Mario
  • Chung, Edward
• Publication Date: 2017-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 363-378
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 81
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Automatic fare collection; Automatic vehicle location; Multi-agent systems; Public transit; Sensitivity analysis; Simulation; Transfers
• Geographic Terms: Queensland
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01642445
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 27 2017 3:41PM