• DocumentCode
    728288
  • Title

    Agent-based simulation of autonomous cars

  • Author

    Boesch, Patrick M. ; Ciari, Francesco

  • Author_Institution
    Inst. of for Transp. Planning & Syst. (IVT), ETH Zurich, Zurich, Switzerland
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    2588
  • Lastpage
    2592
  • Abstract
    More and more highly automated vehicles arrive in the consumer market and fully autonomous vehicles are predicted to become available in the next few years. Autonomous vehicles promise to fundamentally change mobility - for users as for planners. Transport models and simulations are required to prepare for these changes. This paper suggests agent-based transport models as a suited mean to model future transport scenarios including autonomous vehicles. The multi-agent transport model MATSim is presented in detail and some possible research questions on autonomous vehicles - the future car fleet size, future demand patterns, and the interaction between public transport and autonomous vehicles - are introduced. Reason is given, why agent-based models are particularly suited to investigate these questions.
  • Keywords
    automobiles; control engineering computing; digital simulation; mobile robots; multi-agent systems; public transport; traffic engineering computing; MATSim; agent-based simulation; agent-based transport models; automated vehicles; autonomous cars; car fleet size; consumer market; fully autonomous vehicles; future demand patterns; future transport scenarios; mobility; multiagent transport model; public transport;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171123
  • Filename
    7171123