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Smart city article details

Title	Ai-Driven Vanets For Iot-Enabled Transportation Systems
ID_Doc	7053
Authors	Singh R.; Kumar R.; Singh A.; Vijay R.; Khan R.L.; Ather D.
Year	2025
Published	Communications in Computer and Information Science, 2308 CCIS
DOI	http://dx.doi.org/10.1007/978-3-031-84394-5_13
Abstract	This paper presents an innovative approach to address traffic congestion and safety challenges in smart cities by leveraging Artificial Intelligence (AI)-driven Vehicular Ad-Hoc Networks (VANETs) within IoT-enabled transportation systems. The integration of AI algorithms, such as machine learning and deep learning, enables seamless communication among connected vehicles and IoT infrastructure. Real-time data analysis facilitates effective traffic flow control, congestion detection, and accident prediction at the same instance security and privacy concerns are addressed through robust solutions. The current work showcases simulations and case studies, highlighting significant improvements in traffic efficiency, reduced travel time, and enhanced transportation safety. The study emphasizes the transformative potential of AI-driven VANETs in creating intelligent transportation systems for future smart cities, fostering more sustainable and liveable urban environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Author Keywords	Artificial Intelligence; IoT-enabled transportation system; Safety challenges; Traffic congestion; Vehicular Ad-Hoc Networks

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