Several cities are undertaking expensive parking management and pricing programs. For example, San Francisco has recently deployed a $20 million parking information and pricing program called SFPark. The goal of this proposal is to develop an inexpensive parking information and management system by leveraging Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications. The project's approach to leveraging V2V and V2I to develop a parking management system extends previous work in parking management systems. The project has developed a novel parking prediction scheme. The project proposes using data from V2V and/or V2I to infer the three key inputs used in our previous research. Each driver looking for parking has a belief about the current availability of parking. When the driver comes into contact with other drivers, updates his belief about the current availability of parking.


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    Titel :

    Smart Parking


    Beteiligte:
    R. C. Hampshire (Autor:in) / D. Jordon (Autor:in) / K. Sasanuma (Autor:in)

    Erscheinungsdatum :

    2013


    Format / Umfang :

    114 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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