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Leveraging Machine Learning and Artificial Intelligence for Enhanced Connectivity in Vehicles: Intelligent Transportation Systems
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Author(s): Santosh Naduvinamani (Department of Artificial Intelligence and Data Science, SG Balekundri Institute of Technology, Belagavi, India), R. Bhuvana (Department of Biomedical Engineering, GKM College of Engineering and Technology, Chennai, India), Rupali Atul Saraf (Department of MCA, MKSSS K.B. Joshi Institute of Information Technology, Pune, India), M. N. Babitha (Department of Computer Science and Engineering, Sri Siddhartha Institute of Technology, Sri Siddhartha Academy of Higher Education, Tumakuru, India)and Indira Ghosh Dastidar (Department of Automation and Robotics, Dr. D.Y. Patil Institute of Technology, Pune, India)
Copyright: 2025
Pages: 28
Source title:
Virtual and Augmented Reality Applications in the Automobile Industry
Source Author(s)/Editor(s): Devaraj E. (CMR University, India)
DOI: 10.4018/979-8-3693-7287-6.ch001
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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.
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