Vehicle platoon and obstacle avoidance: A reactive agent approach

Increasingly, reactive multi-agent systems are applied to problem solving, modelling and simulation. One of the benefits of this approach is the capability of solving complex problems while maintaining functional and conceptual simplicity of involved entities. Many examples show that approaches based on multi-agent systems are effective in solving complex problems such as life simulation and multi-robot cooperation. Side-by-side vehicle platoon systems, which are studied in this article, can be adopted as a representative example of this class of applications. Based on preceding works, this study presents a local platoon control approach with obstacle avoidance. The proposed vehicle decision making process is considered as a multi-agent system, the agents of which make collectively the best decision considering the perceived constraints and the preceding vehicle position and speed.

• Record URL:
  https://doi.org/10.1049/iet-its.2011.0125
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1751956X
• Authors:
  • Dafflon, Baudouin
  • Gechter, Franck
  • Gruer, Pablo
  • Koukam, Abderrafiaa
• Publication Date: 2013-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 257-264
• Serial:
  • IET Intelligent Transport Systems
  • Volume: 7
  • Issue Number: 3
  • Publisher: Institution of Engineering and Technology (IET)
  • ISSN: 1751-956X
  • EISSN: 1751-9578
  • Serial URL: http://digital-library.theiet.org/content/journals/iet-its

Subject/Index Terms

• TRT Terms: Automated vehicle control; Crash avoidance systems; Decision making; Intelligent agents; Mobile robots; Multi-agent systems; Problem solving; Traffic platooning
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01496539
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 27 2013 11:30AM