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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    Title :

    Smart Parking


    Contributors:
    R. C. Hampshire (author) / D. Jordon (author) / K. Sasanuma (author)

    Publication date :

    2013


    Size :

    114 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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