The AI Traffic Management System utilizes video footage or live video streams to monitor and analyze traffic in real time. The system detects and counts vehicles, measures their speeds, and displays the results in real-time, offering valuable insights into traffic flow and vehicle behavior. Vehicle counts are updated every 10 seconds, and speed calculations are displayed directly on the video feed, making it easier for authorities to understand traffic dynamics. The data is logged in a database every 10 seconds for detailed analysis. The associated Analysis System leverages data analytics tools to provide deeper insights through visualizations, including traffic heatmaps, speed distributions, and daily trends. The system aids traffic management authorities in making informed decisions, optimizing traffic flow, reducing congestion, and ensuring public safety. This integrated approach provides a dynamic solution for modern urban traffic challenges.


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    Title :

    Analyzing Video Surveillance to Handle Traffic Occlusion


    Contributors:


    Publication date :

    2025-05-13


    Size :

    549390 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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    Novel method for handling vehicle occlusion in visual traffic surveillance

    Pang, Clement Chun C. / Lam, William Wai L. / Yung, Nelson H. C. | SPIE | 2003



    A novel method for handling vehicle occlusion in visual traffic surveillance

    Yung, NHC / Pang, CCC / Lam, WWL | BASE | 2003

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