Currently, estimation of vehicle speed in forensic videos is becoming increasingly important for analyzing traffic accidents. To improve the efficiency and scientific nature of this study, an analytical model is proposed. In this method, video code information is detected to calculate the time of video based on its frame rate and moving scale for calculating distance. Next, a distance interpolation method is established according to video status. Then, a velocity curve is created to analyze the braking deceleration of the vehicle. Finally, as a proof of concept, the proposed analytical model is implemented for simulation cases and actual traffic accidents. Experimental results demonstrate the feasibility of the method in terms of accurate estimation of vehicle speed. The results indicate an average relative error of less than 3%. This analytical model is highly versatile and can be used for in-depth investigations of traffic accidents.


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    Title :

    Analytical Modeling to Estimate Vehicle Speed in Forensic Video for In-Depth Investigations of Traffic Accidents


    Contributors:
    Chen, Qiang (author) / Hou, Haijing (author) / Guan, Zhiwei (author) / Li, Da (author)

    Conference:

    21st COTA International Conference of Transportation Professionals ; 2021 ; Xi’an, China


    Published in:

    CICTP 2021 ; 947-954


    Publication date :

    2021-12-14




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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