Agent-based simulation of autonomous taxi services with dynamic demand responses

An agent-based simulation approach is presented, which makes it possible to capture the dynamic interplay between a supply of autonomous vehicle fleets with distinct operational schemes and a population of artificial persons based on an established multiagent traffic simulation framework. The simulation is able to show how agents react to the new travel options and make consistent decisions based on a well-defined framework of utility scoring.

• Record URL:
  https://doi.org/10.1016/j.procs.2017.05.418
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050917310943
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2017 Sebastian Hörl. Published by Elsevier B.V. 6th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTrans 2017)
• Authors:
  • Hörl, Sebastian
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 899-904
• 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: Autonomous intelligent cruise control; Multi-agent systems; Simulation; Taxi services; Vehicle fleets
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01642632
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 28 2017 5:13PM