• DocumentCode
    1705142
  • Title

    Bee-Inpired Road Traffic Control as an Example of Swarm Intelligence in Cyber-Physical Systems

  • Author

    Senge, Sebastian ; Wedde, Horst F.

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. Dortmund, Dortmund, Germany
  • fYear
    2012
  • Firstpage
    258
  • Lastpage
    265
  • Abstract
    Physical parts of a system to interacting software components. In many cyber-physical systems considered nowadays, the system´s parts form a network structure with concurrent entities and the need of seamless scaling and fault-tolerant information dissemination and decentralized methods. In this contribution we point out that swarm intelligence approaches may be well suited for CPS with networked components. As an example, we present our self-adaptive and distributed vehicle route guidance approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multi-agent system which is inspired by the honey bee behavior and relies on a decentralized vehicle-to-infrastructure architecture.
  • Keywords
    control engineering computing; distributed processing; multi-agent systems; road traffic control; road vehicles; traffic engineering computing; Bee-inpired road traffic control; cyberphysical systems; distributed vehicle route guidance approach; fault-tolerant information decentralized methods; fault-tolerant information dissemination; honey bee behavior; multiagent system; network structure; networked components; software components; swarm intelligence; vehicle-to-infrastructure architecture; Delay; Navigation; Particle swarm optimization; Roads; Routing; Vehicle dynamics; Vehicles; cyber-physical systems; distributed control; swarm intelligence; vehicle route guidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Advanced Applications (SEAA), 2012 38th EUROMICRO Conference on
  • Conference_Location
    Cesme, Izmir
  • Print_ISBN
    978-1-4673-2451-9
  • Type

    conf

  • DOI
    10.1109/SEAA.2012.75
  • Filename
    6328159