Getting stuck in traffic is a big headache in cities, causing delays and making everyone grumpy. Regular traffic lights try to help, but they have limits. The smart traffic lights, supercharged with Artificial Intelligence and Machine Learning, ready to transform how we get around. We will dive into the implementation of these intelligent systems, highlighting their benefits such as optimized traffic flow, reduced travel times, and improved fuel efficiency, all driven by the adaptive capabilities of AI and ML algorithms. Our project will address the hurdles of seamlessly integrating AI and ML into existing urban infrastructure, touching on issues such as data security and the coordination of diverse transportation modes. Solution to traffic management. As we explore the prospects of smart traffic light, the focus is on building intelligent infrastructure that adapts to the evolving needs of modern cities, making transportation more seamless and environmentally friendly.


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    Title :

    Deep Learning Agent for Traffic Signal Control


    Contributors:
    Chitti, T N (author) / Sanapala, Praneeth (author) / Punith, C (author) / Rahul, G (author) / Rajendran, Rohith (author)


    Publication date :

    2024-04-04


    Size :

    656188 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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