In the past few years, Big data, machine learning, and artificial intelligence (AI) inclusion have changed the dynamics in various industries, including road transport. This research explores machine learning and artificial intelligence in road transportation, accentuating the advanced image processing methods. We apply these technologies to enhance how traffic is managed, how safe vehicles are operated, and how the most efficient routes are planned. This study also expands to various techniques and methods for analysis, such as image processing, object recognition, and recognition systems, and is effective in implementation. Through extensive experiments and several case studies, we have shown substantial improvements in accuracy and efficiency achieved when image processing in road transport, including machine learning and artificial intelligence. This study points out the tremendous prospects posed by these technologies in shaping the future of transport and suggests further developments and applications.


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    Titel :

    Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing


    Weitere Titelangaben:

    Springer Tracts on Transportation, Traffic


    Beteiligte:
    Mallik, Saurav (Herausgeber:in) / Qin, Hong (Herausgeber:in) / Nandi, Subrata (Herausgeber:in) / Alam, Munshi Yusuf (Herausgeber:in) / Roy, Arup (Herausgeber:in) / Sardar, Tanvir Habib (Herausgeber:in) / Bindu Madavi, K. P. (Autor:in) / Krishna Sowjanya, K. (Autor:in) / Sardar, Tanvir H. (Autor:in) / Reddy, Manoj Seetharama (Autor:in)


    Erscheinungsdatum :

    09.05.2025


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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