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Title	Leveraging Machine Learning And Artificial Intelligence For Enhanced Connectivity In Vehicles: Intelligent Transportation Systems
ID_Doc	35102
Authors	Naduvinamani S.; Bhuvana R.; Saraf R.A.; Babitha M.N.; Dastidar I.G.
Year	2025
Published	Virtual and Augmented Reality Applications in the Automobile Industry
DOI	http://dx.doi.org/10.4018/979-8-3693-7287-6.ch001
Abstract	Machine Leanring (ML) and Artificial Intelligence (AI) can change the game of transport with Intelligent Transportation Systems (ITS). The connected graphs observe architecture and enable from the ML and AI across domains to change the performing method of connectivity and make available better traffic performance, security enhancement, and mobility optimization. The big data from sensors, vehicles, and infrastructure are processed by machine learning algorithms to provide data-driven, real-time decisions, predictive analysis, and traffic flow optimization for smooth flow, less jam, and fewer emissions. Resulting in the smart cities intelligent mobility, with the rise of AI and ML in ITS, the smart motors are being transformed into adaptive devices that can change as per evolving traffic scenarios. It explores how AI and ML may be integrated with smart cities and ITS to make these connected, efficient, and sustainable and examines current and emerging applications of ITS with a future outlook. © 2025 by IGI Global Scientific Publishing. All rights reserved.
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