This method offers a solution for vehicle detection and movement analysis in real time or based on video fragments using. The algorithm effectively tracks vehicles and corrects errors that occur during data processing. The main focus is on assessing instantaneous speed, which is critical due to the high responsiveness of modern vehicles. This parameter helps evaluate driving aggressiveness on road sections, and the dynamics of starting from a stop line can aid in optimizing traffic light control. This approach aims to improve traffic flow management and can be applied in intelligent transportation systems and real-time systems.


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    Title :

    Vehicle Tracking Algorithm of Speed Estimation Based on Traffic Video Analysis


    Contributors:


    Publication date :

    2024-11-13


    Size :

    570463 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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