AIoT for Smart Transportation: Transforming the future of mobility explores the convergence of artificial intelligence (AI) and the internet of things (IoT) technologies in the context of modern transportation systems.
Intelligent transportation systems (ITS) leverage cutting-edge information, electronic, sensing, communication, control, and management technologies to transform raw traffic data, gathered from individuals, vehicles, and road infrastructure within the transportation network, into valuable and actionable information. By facilitating real-time communication and seamless connectivity through robust communication systems, ITS can enhance the synergy among people, vehicles, and road infrastructure.
This book explores the dynamic intersection of AIoT technologies and their pivotal role in shaping the future of transportation systems. It looks at the critical challenges posed by urbanization, and the demand for efficient, safe, and sustainable mobility, featuring chapters exploring the challenges, technologies, applications, and future trends of AIoT in realizing intelligent transportation. Topics include: AIoT for real-time traffic analysis and optimisation, the role of data and sensors, security and safety, and sustainable mobility.
This book aims to help readers understand and leverage the potential of AIoT in modern transportation, providing insights and practical knowledge for those working, or interested, in the evolving landscape of smart transportation. It is intended to be a useful resource for researchers from industry and academia, scientists, and engineers in the fields of ICT and networking, IoT, smart technologies, and transportation.
Meenu Gupta is a professor at the UIE-CSE Department, Chandigarh University, Punjab, India. She is pursuing her postdoctoral fellowship from MIR lab, USA. She completed her PhD in computer science and engineering from Ansal University, Gurgaon, India, 2020. Her research areas cover machine learning, intelligent systems, and data mining. She is a life member of ISTE and IAENG, a senior member of IEEE and executive member of IEEE Delhi Section.
Rakesh Kumar is associate director at the UIE-CSE Department, Chandigarh University, Punjab, India. He is pursuing his postdoctoral fellowship from MIR lab, USA. He completed his PhD in computer science and engineering from Punjab Technical University, Jalandhar, 2017. His research interests are IoT, machine learning, and natural language processing. He works as a reviewer for several journals and is a senior member of IEEE.
Shakeel Ahmed is an associate professor at the Taylor's University, Malaysia. He holds a PhD in computer science from Indore University, India, with expertise in software engineering, artificial intelligence, cloud computing, software verification and validation. He has authored numerous research papers in reputable journals and IEEE conferences. As a book editor, he edited books on AIoT technologies and health care. A reviewer for prestigious quartile journals and a PC member of international conferences.
