Connected Vehicles in Intelligent Transportation Systems: Taxonomies, Frameworks and Research Frontiers

Malik, Ali, Fréin, Ruairí de, Aziz, Benjamin, Nsaif, Mohammed, Muntadher, Sallal, Alshawki, Mohammed B., Alshawki, Hasanen and Jasim Al-Farttoosi, Dawood Salman, eds. (2026) Connected Vehicles in Intelligent Transportation Systems: Taxonomies, Frameworks and Research Frontiers. SpringerBriefs in Computer Science . Springer Cham. ISBN 978-3-032-45699-1 (In Press)

Full text not available from this repository. (Request a copy)

Access this via: https://link.springer.com/book/9783032456991

Abstract

This book delivers a comprehensive exploration of connected vehicles and their transformative role in intelligent transportation systems. It examines the protocols, architectures, applications, traffic-engineering approaches, electric mobility systems, simulation tools, datasets, and enabling technologies that drive connected vehicle ecosystems. Clear taxonomies and frameworks bring together seven core research domains within a unified and accessible reference. Bridging established research with emerging technologies, this book reveals how artificial intelligence and machine learning can enhance routing, computation offloading, energy management, cybersecurity, privacy, and trust. It also explores software-defined vehicular networks, blockchain, and vehicular cloud, edge, and fog computing. By identifying research gaps, practical challenges, and promising future directions, this book provides valuable insights into the development of secure, resilient, efficient, and sustainable mobility systems. This book is intended for researchers, postgraduate students, and engineers working in connected vehicles, vehicular networks, intelligent transportation systems, communications, artificial intelligence, cybersecurity, and electrical engineering. It also benefits automotive professionals, technology developers, smart-city planners, infrastructure operators, and transport policymakers.

Item Type:	Book
Keywords:	Connected Vehicles (CV) Internet of Vehicles (IoV) Vehicular Networks VANET Intelligent Transportation Systems (ITS) Vehicular Communications Traffic Engineering (TE) Electric Vehicles (EVs) Machine Learning (ML) Artificial Intelligence (AI) Sof
Divisions:	College of Creative Arts, Technology and Engineering > Computing
Depositing User:	Jessie McLean
Date Deposited:	19 Oct 2026 11:05
Last Modified:	22 Oct 2026 08:46
URI:	https://bnu.repository.guildhe.ac.uk/id/eprint/21826

Actions (login required)

Edit Item