Smart Mobility Using Multi-Agent System

In this paper, the authors propose a self-adaptive mechanism for traffic regulation based on cooperative agents. The authors focus their study on the intersection behaviour, using intelligent agents to represent the infrastructure elements, which cooperate among each other in order to minimize traffic congestion. While the agents are capable of cooperating among themselves, the cooperative behaviour is not pre-defined, as it emerges from the agent interactions at a local level. The authors also explain their results from simulation experiments involving the proposed mechanism, comparing it with other traffic congestion regulation systems currently in use.

• Record URL:
  • https://doi.org/10.1016/j.procs.2019.04.061
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S187705091930523X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2019 Assia Belbachir et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Belbachir, Assia
  • El Fallah-Seghrouchni, Amal
  • Casals, Arthur
  • Pasin, Marcia
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 447-454
• Serial:
  • Procedia Computer Science
  • Volume: 151
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Highway traffic control; Multi-agent systems; Simulation; Traffic congestion; Traffic mitigation
• Uncontrolled Terms: Multi-agent cooperative control; Smart mobility
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01711081
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 16 2019 6:04PM