Operational performance and security of Automated People Mover (APM) systems, especially at airports, are becoming more and more important. Many APM installations serve large parts of an airport, such as terminals or parking lots, but also run from security to non-security areas. Today, mostly manual visual inspection, either on-site or remote from the operation control center, is used to check the status onboard the vehicles. This relates to the emptiness from passengers, e.g.,before entering the depot area, up to an estimation of the passenger load onboard. With the presented Empty Vehicle Detection video analytics module, the security of the APM system, as well as the airport, can be increased. Vehicles can only travel to restricted areas if they are confirmed empty. The estimation of the number of passengers onboard can help optimize operational benefits. In case vehicles are too crowded or hardly occupied at all, additional trains can be put into service or some trains can be removed, respectively. This helps improve operational performance of such APMs by either providing additional capacity or reduce costs in case of saved trips. This paper presents the two video-based approaches to automatically detect the number of people onboard the train and report this status to a control center.


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    Titel :

    Improving Airport People Mover Performance with an Intelligent Onboard CCTV System


    Beteiligte:
    Scholz, S. (Autor:in) / Schuette, J. (Autor:in) / Crawford, C. L. (Autor:in)

    Kongress:

    14th International Conference on Automated People Movers and Automated Transit Systems ; 2013 ; Phoenix, Arizona



    Erscheinungsdatum :

    2013-04-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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