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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    Titel :

    Analyzing Video Surveillance to Handle Traffic Occlusion


    Beteiligte:


    Erscheinungsdatum :

    13.05.2025


    Format / Umfang :

    549390 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Moutakki Zakaria / Ouloul Imad Mohamed / Afdel Karim et al. | DOAJ | 2017

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    A novel method for handling vehicle occlusion in visual traffic surveillance

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

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