As cities grow in population and the number of vehicles increases, traffic congestion has become a major problem. Traffic jams lead to delays, driver stress, higher fuel consumption, and increased air pollution. Megacities are particularly affected. To manage traffic effectively, it's essential to calculate road traffic density in real-time. Optimizing traffic control is crucial for this. The system uses live images from traffic cameras and AI-based image processing to measure vehicle density and adjust traffic signals accordingly, reducing congestion, speeding up transit, and lowering pollution.


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    Title :

    YOLO-based Traffic Signal Optimization for Intelligent Traffic Flow Management


    Contributors:


    Publication date :

    2024-10-03


    Size :

    449265 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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