Position yourself at the forefront of the transportation revolution with this guide to mastering computational intelligence that serves as the essential linchpin for the safe, sustainable, and hyper-connected Internet of Vehicular Things.
The rapid adoption of the Internet of Things has transformed the way we interact with our environment, ushering in an era of unprecedented connectivity and data sharing. One of the most dynamic and influential manifestations of this technological revolution is the Internet of Vehicular Things, a paradigm that connects the digital and physical worlds through the integration of intelligent vehicles, smart infrastructure, and advanced communication networks. In this fast-evolving landscape, computational intelligence emerges as the linchpin that enables IoVT to realize its full potential. This book addresses the fascinating intersection of vehicle technology and computational intelligence. It explores the transformative power of algorithms, machine learning, artificial intelligence, and data analytics shaping the future of transportation. As vehicles become smarter, safer, and more efficient, the opportunities for innovation and optimization are limitless. The IoVT ecosystem encompasses a wide range of applications, from autonomous vehicles and traffic management systems to driver assistance technologies and predictive maintenance. By harnessing the collective intelligence of vehicles and infrastructures, IoVT promises to revolutionize not only our daily commute, but the broader transportation landscape, paving the way for sustainable, efficient, and safe mobility solutions. This book is a comprehensive guide for researchers, engineers, practitioners, and policymakers looking to navigate the complex terrain of IoVT using computational intelligence. It provides a multidisciplinary perspective and draws on recent advances in computer science, data science, electrical engineering, and transportation science to facilitate a deep understanding of the key concepts, challenges, and opportunities associated with IoVT and computational intelligence.
S. Neelakrishnan, PhD is a Professor and the Head of the Department of Automobile Engineering at the PSG College of Technology. He has been instrumental in the development of vocational programs for the automotive domain and set up 15 specialized state of the art laboratories in the automotive and textile domain.
Niresh Jayarajan, PhD is an Assistant Professor in the Department of Automobile Engineering at the PSG College of Technology and a member of the Society of Automotive Engineers of India. His research interests include electric and hybrid vehicles, vehicle acoustics, and energy management systems.
Malathy Sathyamoorthy, PhD is an Assistant Professor in the Department of Information Technology at the KPR Institute of Engineering and Technology. She has published more than 25 research papers in international journals, 22 papers in international conferences, eight book chapters, one book, and two patents. Her research interests include wireless sensor networks, networking, security, and machine learning.
Rajesh Kumar Dhanaraj, PhD is a Professor at Symbiosis International University. He has contributed more than 100 articles to international journals and conferences, authored and edited more than 50 books, and holds 21 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.
Archana Naganathan, PhD is an Assistant Professor in the Department of Electrical and Electronics Engineering at the PSG College of Technology and a member of the Institute of Engineers of India. Her research interests cover the areas of power electronics, optimisation techniques, and hybrid electric vehicles.
