Smarter, Connected, and Autonomous Vehicles and Mobility Systems
Description
This book provides a multidisciplinary view of autonomous and smart mobility systems with a focus on autonomous vehicles (AVs), connectedness of the infrastructure, applications, artificial intelligence, and big data. The book discusses various drivers that are pushing us towards the smart mobility era. The authors define its major dimensions and review the ongoing developments in the field. The topics include, among others, autonomous vehicle functions, autonomous vehicle types, AVs and edge computing, smart cities, smart transportation infrastructure and services, Internet of Things (IoT), data management, smart roads and built environment, bike sharing, carpooling, electrification of vehicles, urban sensing and crowdsourcing, and broader issues (policy, law, security and privacy). The book serves as an introductory and review text on advanced cutting-edge developments in the field with over 500 references. The book can be used to gain an overview of the field by taught and research students, academics, and practitioners.
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Persons
Rashid Mehmood is a Professor of High-Performance Data Analytics (HPDA) at the Islamic University of Madinah, Saudi Arabia, and Director of the Centre for Technology Governance. He holds academic qualifications and professional experience from leading international institutions including the University of Cambridge and the University of Oxford. With over three decades of expertise in computational modelling and system design, his research focuses on artificial intelligence, big data, high-performance computing (HPC), distributed systems, and digital infrastructure, with applications in smart cities, intelligent mobility, healthcare, and related urban domains. His interdisciplinary work aims to advance science and technology to improve quality of life and support the development of smart and sustainable economies. He has published over 300 research papers and 13 edited books, and has organized and chaired numerous international conferences and workshops across diverse fields. He has led and contributed to academia-industry collaborative projects with total funding exceeding £50 million, supported by organizations including EPSRC and the European Union.
Iyad Katib (Member, IEEE) is a Professor in the Computer Science Department and Dean of the Faculty of Computing and Information Technology (FCIT) at King Abdulaziz University (KAU). He received his PhD and MS degrees in Computer Science from the University of Missouri-Kansas City in 2011 and 2004, respectively. He obtained his BS degree in Statistics and Computer Science from King Abdulaziz University in 1999. His current research interests include computer networking and high-performance computing.
Aiiad Albeshri received his MS and PhD degrees in Information Technology from Queensland University of Technology, Brisbane, Australia, in 2007 and 2013, respectively. He has been a Professor in the Computer Science Department at King Abdulaziz University, Jeddah, Saudi Arabia, since 2018. His research focuses on security and trust in cloud computing, big data, and high-performance computing.
Saad Alqahtany received his PhD in Cybersecurity and Digital Forensics from Plymouth University (UK) in 2017. He obtained a Master's degree in Digital Forensics from the University of Bradford (UK) in 2010 and a BSc in Computer Science from King Saud University (Riyadh) in 2002. Saad worked for the Ministry of Interior of Saudi Arabia for more than 19 years, holding several positions related to cybersecurity and digital investigation. His professional interests include digital forensics, cybersecurity, cybercrime investigations, IoT forensics, and cloud forensics. His current work focuses on enabling cyberinfrastructure for digital investigation and combating cybercrime in both proactive and forensically sound ways. Saad has extensive experience leading cybercrime and digital forensics units and has published several papers in journals and conferences.
Content
Introduction.- Part I: Autonomous Vehicles.- Autonomous, Connected, and Smart Vehicles: An Architectural Overview.- Sensing, Environment Perception, and Situation Awareness.- Navigation, Trajectory Planning, and Trajectory Following.- Autonomous Vehicle Control: Lateral and Longitudinal.- Collaborative Perception, Collaborative Driving, and Platooning.- Autonomous and Smart Vehicle Types.- Miscellaneous Topics.- Part II: Autonomous Mobility Systems.- Sensing and Data Infrastructure.- Communications Infrastructure.- Computing Infrastructure.- Solutions and Services.- Electrification and Sustainability.- Pandemic and Disaster Management with Autonomous Mobility.- Miscellaneous Topics.- Part III: Broader Issues.- Social and Business Impacts.- Policy and Law.- Part IV: Wrap-Up.- Further Reading.- Future Outlook.- Conclusion.