Integrating public transport into mobiTopp

Demand and supply are both relevant for travel time in public transport. While it is obvious that the supply side in form of the timetable corresponds directly to the travel time, the demand side influences the travel time only partially, but in critical moments. During peak hours, when the demand reaches the capacity of the vehicles, the interaction between demand and supply becomes important. Overcrowded vehicles, hindering passengers to catch their chosen route, lead to longer travel times. Therefore, it is important to integrate the supply side of public transport into a travel demand model. The supply side of public transport has been integrated into the agent-based travel demand model mobiTopp. A timetable has been implemented, which is used for two purposes. First, it serves as input for the Connection Scan Algorithm, which is used by the agents to find the routes with earliest arrival time at their destinations. Second, it is used for the movement of the public transport vehicles. The model also contains capacity constraints for vehicles, which, when activated, result in a noticeable increase in travel time.

• Record URL:
  https://doi.org/10.1016/j.procs.2017.05.401
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050917310761
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2017 Lars Briem et al. Published by Elsevier B.V. 6th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTrans 2017)
• Authors:
  • Briem, Lars
  • Buck, H Sebastian
  • Mallig, Nicolai
  • Vortisch, Peter
  • Strasser, Ben
  • Wagner, Dorothea
  • Zündorf, Tobias
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 855-860
• Serial:
  • Procedia Computer Science
  • Volume: 109
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Public transit; Timetables; Travel demand; Travel time
• Subject Areas: Operations and Traffic Management; Public Transportation;

Filing Info

• Accession Number: 01642633
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 28 2017 5:13PM