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Safe Data-Driven Control in Autonomous Vehicles and Transportation Systems
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Author(s): P. William (Sanjivani College of Engineering, Kopargaon, India), Ved Prakash Mishra (Amity University, Dubai, UAE), Ritesh Agwan (Sanjivani College of Engineering, Kopargaon, India), Sachin Vasant Chaudhari (Sanjivani College of Engineering, Kopargaon, India), Monika Agrawal (Sanjivani College of Engineering, Kopargaon, India)and Gurpreet Singh Chhabra (GITAM School of Technology, GITAM University, India)
Copyright: 2026
Pages: 20
Source title:
Safe Data-Driven Control for Cyber-Physical Systems
Source Author(s)/Editor(s): Adnène Arbi (National Institute of Applied Sciences and Technology, University of Carthage, Tunisia & Laboratory of Mathematical Engineering, Tunisia Polytechnic School, University of Carthage, Tunisia)
DOI: 10.4018/979-8-3373-1832-5.ch011
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Abstract
Safe data-driven control systems are necessary for large-scale automation in contemporary transport networks, including networked autonomous cars. In this research, methods, issues, and possible developments in autonomous vehicle system safety are examined. The chapter discusses important subjects including real-time data processing, cybersecurity, sensor fusion, and AI-enabled predictive modelling. evaluating Examine how VANETs may enhance communication between infrastructure, ad hoc networks, and automobiles. In addition, learn how crucial expert diagnostic systems are for prompt problem identification and fixing. The focus of the article is on encryption, authentication, and anomaly detection as it examines cybersecurity threats and countermeasures. Studies contrasting regional adoption and accident rates demonstrate the benefits of autonomous vehicles for both transport efficiency and traffic safety. The highlights underscore the need of strict safety equipment and multi-tiered security to increase closure and confidence in autonomous transportation systems.
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