Using object detection in potentially dangerous areas (such as road crossings, intersections, streets with high pedestrian or cyclist activity) and existing vulnerable road user EBA algorithms, the events leading up to a collision, as well as the actual collision event may be recorded such that an accurate account of the accident is achieved, and local law enforcement agencies may be immediately notified. Since EBA systems have sensors that may accurately determine the location, speed, and direction of objects (pedestrians, cyclists, etc), and may be equipped with V2x technologies and communicate with the smart city infrastructures, key information may be obtained and sent to various servers for companies to determine pre-crash scenario accidents occurring in near real-time using cloud type services via cellular, wifi, and other networks, such that developers of safety technologies may use this information quickly implement new safety technologies or improve existing ones.


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    Title :

    SMART CITY DATA ANALYTICS FOR IMPROVED ACCIDENT RECONSTRUCTION AND SOLUTIONS


    Contributors:

    Publication date :

    2019-02-28


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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    SKVARCE JEFFERY | European Patent Office | 2019

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    SKVARCE JEFFERY | European Patent Office | 2020

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    Lacey, John H. | Elsevier | 1982


    Accident Research and Accident Reconstruction by the EES-Accident Reconstruction Method

    Zeidler, F. / Schreier, H.-H. / Stadelmann, R. | SAE Technical Papers | 1985