Malik | Connected Vehicles in Intelligent Transportation Systems | Buch | 978-3-032-45699-1 | www.sack.de

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: SpringerBriefs in Computer Science

Malik

Connected Vehicles in Intelligent Transportation Systems

Taxonomies, Frameworks and Research Frontiers
Erscheinungsjahr 2027
ISBN: 978-3-032-45699-1
Verlag: Springer International Publishing

Taxonomies, Frameworks and Research Frontiers

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: SpringerBriefs in Computer Science

ISBN: 978-3-032-45699-1
Verlag: Springer International Publishing


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.

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Autoren/Hrsg.


Weitere Infos & Material


.- Introduction.
.- Traffic Engineering in CVs.
.- Electric MobilitySystems.
.- CVsEnablingTechnologies.
.- CVArchitectures,SimulatorsandDatasets.
.- CVSecurity,PrivacyandTrust.
.- Discussion,FutureDirectionsandConclusion.


A- Ali Malik

School of Electrical and Electronic Engineering, Technological University Dublin, Ireland ali.malik@tudublin.ie

Ali Malik is an Assistant Lecturer at TU Dublin, Ireland. He received the Ph.D. degree in Computer Networks from the University of Portsmouth, UK, in 2019. From 2019 to 2023, he was a Postdoctoral Researcher at the FOCAS Research Institute, TU Dublin. He serves on the editorial boards of several academic journals. His research interests include SDNs, cybersecurity, VANETs.

B- Ruairí de Fréin

School of Electrical and Electronic Engineering, Technological University Dublin, Ireland Ruairi.deFrein@TUDublin.ie

Ruairí de Fréin is a Lecturer and Science Foundation Ireland Starting Investigator at TU Dublin, Ireland. He received the B.E. degree in Electronic Engineering and the Ph.D. degree from UCD, Ireland. He has held Marie Sklodowska-Curie Fellowships at KTH Royal Institute of Technology, Sweden, and Amadeus SAS, France. His research interests include machine learning, signal processing, SDNs, and VANETs.

C- Mohammed Nsaif

Department of Computer Science, University of Kufa, Najaf, Iraq mohammed.nsaif@uokufa.edu.iq

Mohammed Nsaif is an Assistant Professor at the University of Kufa, Iraq. He holds B.Sc. and M.Sc. degrees in communication systems and received the Ph.D. degree from the University of Debrecen, Hungary. His research interests include SDNs, IoT, wireless networks, and ML.

D- Muntadher Sallal

School of Computing and Engineering, Bournemouth University, Bournemouth, United Kingdom msallal@bournemouth.ac.uk

Muntadher Sallal is a Senior Lecturer in Cyber Security at Bournemouth University, UK. He received the Ph.D. degree in Blockchain Security and Scalability from the University of Portsmouth, UK, in 2018. He was a postdoctoral researcher at the University of Surrey, UK. His research interests include blockchain, cybersecurity, distributed systems, and secure AI.

E- Mohammed B. Alshawki

Department of Computer Algebra, ELTE Eotvos Lorand University, Budapest, Hungary alshawki@inf.elte.hu

Mohammed B. Alshawki is an Associate Professor, Senior Researcher, and Certified Cybersecurity Consultant. He received a Ph.D. in Computer Science from Eötvös Loránd University, Hungary, and Furtwangen University, Germany, and was a visiting Professor at Chalmers University of Technology, Sweden. His research interests include applied cryptography, network security, and AI.

F- Benjamin Aziz

College of Creative Arts, Technology and Engineering, Buckinghamshire New University, United Kingdom benjamin.aziz@bnu.ac.uk

Benjamin Aziz is Professor of Computer Science at Buckinghamshire New University, UK. He received a Ph.D. in Computer Security from DCU, Ireland. He held research positions at Imperial College London and Rutherford Appleton Laboratory. His research interests include formal methods, software engineering, cybersecurity, IoT security, and VANETs.

G- Hasanen Alyasiri

Department of Computer Science, University of Kufa, Najaf, Iraq hasanen.alyasiri@uokufa.edu.iq

Hasanen Alyasiri is an Associate Professor of Computer Science at the University of Kufa, Iraq. He received a Ph.D. from the University of York, UK, specializing in AI and Computer Security. He has extensive experience in teaching, research, and postgraduate supervision. His research interests include AI, evolutionary computation, cybersecurity, and IDS.

H- Dawood Salman Jasim Al-Farttoosi

Department of Accounting, Faculty of Management and Economics, University of Kufa, Najaf, Iraq Dawood.jasim@uokufa.edu.iq

Dawood Salman Jasim Al-Farttoosi is an Assistant Professor in the Department of Accounting at the University of Kufa, Iraq. He holds B.Sc. and M.Sc. degrees in Computer Science. He is currently pursuing a Ph.D. at the Université de Tunis El Manar, Tunisia. His research interests include security, image processing and VANETs.



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