Development of in-vehicle computer and sensing technology, along with short-range vehicle-to-vehicle communication has provided technological potential for large-scale deployment of self-driving vehicles. The issue of intersection control for these future self-driving vehicles is one of the emerging research issues. Contrary to some of the previous research approaches, this paper is proposing a paradigm shift based upon cooperative self-organizing control framework with end-user responsibility. Distributed vehicle intelligence has been used to calculate each vehicle's approaching velocity. The control mechanism has been developed in an agent-based environment. Self-organizing agent's trajectory adjustment bases upon a proposed priority principle. Testing of the system has proved its safety, user comfort, and efficiency functional requirements. Several recommendations for further research are presented.


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    Titel :

    Priority-based intersection control framework for self-driving vehicles: Agent-based model development and evaluation


    Beteiligte:


    Erscheinungsdatum :

    2014-11-01


    Format / Umfang :

    1044946 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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