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Title	Real-Time Traffic Control Using Artificial Intelligence In Smart Cities
ID_Doc	44463
Authors	Tyagi S.; Kathuria S.; Rajashekar N.; Mohammed A.F.K.; Rakesh S.; Lakhanpal S.; Singh C.
Year	2025
Published	Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development
DOI	http://dx.doi.org/10.1201/9781003596721-23
Abstract	The development of modernized societies is usually being led using Artificial Intelligence (AI) technology in Smart Cities. Smart City is a concept of the application of modern information and communication technologies to optimize the urban population while offering more comfortable lifestyles. The aim of this research is to propose real-time traffic control using AI in Smart Cities. AI-driven technology can be used to enable optimal utilization of space, promote efficient movement of people, predict traffic conditions, and control it in real time. The proposed system comprises various components like the deep learning model for feature extraction, Genetic Algorithm (GA) for clustering and prediction, and graphical user Interface (GUI) for the control system. In this research, AI will be used to predict traffic flow based on traffic data collected from surveillance cameras set up at various traffic signals and routes. Then, the AI algorithms would predict traffic congestion and recommend control strategies for traffic management several hours in advance. This would help to reduce travel time, fuel consumption, and accidents and will result in an enhanced transportation system for citizens of Smart Cities. © 2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.
Author Keywords	Artificial intelligence; Smart city; Traffic control

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