Although stand-alone data processing systems exist for analyzing near-collision events from pre-recorded video, these methods can only be captured for a discrete number of sites over a defined time period. Digital transformation is fundamentally reshaping transportation analytics, thanks to the rise of cloud computing, machine vision systems based on deep neural networks, and other disruptive innovations. In recognition of the opportunities to enhance traffic operations and public safety, Microsoft Corp, the City of Bellevue, WA, USA, and University of Washington have entered into a technology development partnership. Performance dashboards are under development to flag high-risk locations that warrant intervention. The dashboards are based on a predetermined, numeric scale of near-collision conditions. A higher score indicates a higher risk of collision, adjusted for the number of road users passing through the intersection. In terms of human lives and property damage, near-collision events are zero-cost learning opportunities, compared to learning from actual crashes and their grim consequences.


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    Titel :

    Video Analytics Towards Vision Zero



    Erschienen in:

    ITE journal ; 87 , 3


    Erscheinungsdatum :

    2017



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.00 Technik der Verkehrsmittel, Verkehrswesen: Allgemeines
    Lokalklassifikation TIB:    770/7010





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    Schanz, A.E. / Hamann, R. / Society of Automotive Engineers | British Library Conference Proceedings | 2012