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@article{185953,
        author = {Shaik Ayaanuddin and Shaik habeeb and akmal and saqib and dr khaja fareed uddin and mohammed jalal uddin},
        title = {ARTIFICIAL INTELLIGENCE IN TRANSPORTATION ENGINEERINGARTIFICIAL INTELLIGENCE IN TRANSPORTATION ENGINEERING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3794-3800},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185953},
        abstract = {Bridge engineering has always been a symbol of connectivity, resilience, and human progress. In recent years, the field has undergone transformative innovation driven by advancements in materials, design methodologies, and construction technologies. These innovations not only address traditional challenges such as durability, safety, and cost-effectiveness but also respond to emerging needs like sustainability, climate resilience, and smart infrastructure integration. Recognizing these advancements through awards highlights the critical role of creativity, research, and engineering excellence in shaping the future of transportation networks. This paper/presentation explores the intersection of award-winning innovations in bridge engineering, emphasizing groundbreaking designs, novel construction techniques, and digital technologies that redefine structural efficiency and societal impact. By studying exemplary projects and celebrated innovations, we gain insight into how award recognition motivates continual improvement and inspires the next generation of bridge engineers to build safer, smarter, and more sustainable structures for the future.},
        keywords = {Artificial Intelligence (AI), Transportation Engineering, Traffic Prediction, Machine Learning, Autonomous Vehicles, Route Optimization, Intelligent Transportation Systems (ITS), Smart Mobility.},
        month = {October},
        }