• DocumentCode
    154741
  • Title

    Microscopic traffic simulation based evaluation of highly automated driving on highways

  • Author

    Bahram, Mohammad ; Ghandeharioun, Zahra ; Zahn, Peter ; Baur, Mathias ; Huber, Werner ; Busch, Fritz

  • Author_Institution
    BMW Group Res. & Technol., Munich, Germany
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    1752
  • Lastpage
    1757
  • Abstract
    Highly automated driving on highways requires a complex artificial intelligence that makes optimal decisions based on ongoing measurements. Notably no attempt has been performed to evaluate the impacts of such a sophisticated system on traffic. Another important point is the impact of continuous increase in the number of highly automated vehicles on future traffic safety and traffic flow. This work introduces a novel framework to evaluate these impacts in a developed microscopic traffic simulation environment. This framework is used on the one hand to ensure the functionality of the driving strategy in the early development stage. On the other hand, the impacts of increasing automation rates, up to hundred percent, on traffic safety and traffic flow is evaluated.
  • Keywords
    artificial intelligence; road safety; traffic engineering computing; artificial intelligence; highly automated driving evaluation; highways; microscopic traffic simulation environment; traffic flow; traffic safety; Accidents; Adaptation models; Mathematical model; Microscopy; Road transportation; Safety; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957946
  • Filename
    6957946