Smart Traffic Management Systems Using AI-Based Video Analytics
DOI:
https://doi.org/10.63345/Keywords:
Smart traffic management, video analytics, deep learning, computer vision, congestion control, intelligent transportation systems, urban mobilityAbstract
The unprecedented surge in urbanization has intensified global challenges of traffic congestion, air pollution, and road safety, underscoring the urgent need for next-generation transportation solutions. Traditional traffic management approaches, such as fixed-time signals and manual monitoring, have proven inadequate in adapting to the dynamic and complex nature of modern urban mobility. Artificial intelligence (AI) and video analytics offer a transformative pathway by leveraging real-time surveillance data, computer vision, and deep learning models to optimize traffic flows, enhance safety, and reduce environmental footprints.
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