An Agent-Based Simulation of Air Travel Itinerary Choice

The AirMarkets Simulator™ utilizes an agent-based model of individual air travel passengers to represent and hence explore the commercial air travel system. The ABM is built on a discrete choice random utility model, and simultaneously replicates the behavior of every passenger travelling in every air market in the world. The discrete choice decision model is described in detail, along with how it portrays the dynamics of air travel and air travel pricing. Sample results are offered, including an illustration of the empirical limits of a random market behavior such as air travel.

• Record URL:
  https://doi.org/10.1016/j.procs.2017.05.419
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050917310955
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2017 Roger A Parker. Published by Elsevier B.V. 6th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTrans 2017)
• Authors:
  • Parker, Roger A
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 905-910
• 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: Air travel; Choice models; Decision making; Markets; Pricing; Simulation; Travel behavior
• Subject Areas: Aviation; Planning and Forecasting;

Filing Info

• Accession Number: 01642636
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 28 2017 5:13PM