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  • Enabling Safe Autonomous Driving in Real-World City Traffic Using Multiple Criteria Decision Making

    Author(s)
    Furda, Andrei
    Vlacic, Ljubo
    Griffith University Author(s)
    Vlacic, Ljubo
    Year published
    2011
    Metadata
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    Abstract
    This paper addresses the topic of real-time decision making for autonomous city vehicles, i.e. the autonomous vehicles' ability to make appropriate driving decisions in city road traffic situations. The paper explains the overall controls system architecture, the decision making task decomposition, and focuses on how Multiple Criteria Decision Making (MCDM) is used in the process of selecting the most appropriate driving maneuver from the set of feasible ones. Experimental tests show that MCDM is suitable for this new application area.This paper addresses the topic of real-time decision making for autonomous city vehicles, i.e. the autonomous vehicles' ability to make appropriate driving decisions in city road traffic situations. The paper explains the overall controls system architecture, the decision making task decomposition, and focuses on how Multiple Criteria Decision Making (MCDM) is used in the process of selecting the most appropriate driving maneuver from the set of feasible ones. Experimental tests show that MCDM is suitable for this new application area.
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    Journal Title
    IEEE Intelligent Transportation Systems Magazine
    Volume
    3
    Issue
    1
    DOI
    https://doi.org/10.1109/MITS.2011.940472
    Subject
    Automation engineering
    Publication URI
    http://hdl.handle.net/10072/42318
    Collection
    • Journal articles

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