Artificial Intelligence in Traffic Management: A Review of Applications and Impact on Transportation Systems

Artificial Intelligence in Traffic Management: A Review of Applications and Impact on Transportation Systems

Kartik Thakur1, Dr. Preetpal Singh2

1Student of M.Tech., H&T, Dept. of Civil Engineering, Rayat Bahra University, Mohali, India
2Head of Department, Dept. of Civil Engineering, Rayat Bahra University, Mohali, India

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Abstract - Artificial Intelligence (AI) has become a transformative force in traffic management, offering innovative solutions to address congestion, safety, and efficiency in transportation systems. This literature review examines recent advancements in AI applications within traffic management, focusing on methodologies such as machine learning, computer vision, and optimization techniques. The study also evaluates the impacts of these technologies on transportation systems, including their benefits and challenges. Key applications such as traffic prediction, signal control, autonomous vehicles, and incident management are discussed. The review concludes by identifying research gaps and proposing directions for future studies