In this project an automated real-time parking information system was developed to improve truck-parking safety through efficient gathering and disseminating information regarding the use of existing parking capacity. The system consists of four main components: sensing, data collection, data processing and user interface (UI). A pilot deployment was conducted on an SHAs truck parking facility located on I-95 northbound prior to MD 32. During the testing period of January 6 through 14, 2013, 1,239 events were detected by the system. Each event refers to any truck arrival or departure activity in a spot. The average overall detection error was 3.75 percent and the maximum error was 5 percent. The error rate can potentially be reduced by using more sensors at each spot and using repeaters to avoid signal blockages.


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    Title :

    Automated Low-Cost and Real-Time Truck Parking Information System


    Contributors:
    A. Haghani (author) / S. Farzinfard (author) / M. Hamedi (author) / F. Ahdi (author) / M. K. Khandani (author)

    Publication date :

    2013


    Size :

    80 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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