AIoT for Smart 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.

• Chapter 1: Introduction to AIoT in smart transportationChapter 2: Understanding AIoT technologies and their relevance in modern transportation systemsChapter 3: Advancement in intelligent transportation systems using AIoTChapter 4: Enhancing transportation: a real-world use case of AIChapter 5: AIoT in smart transportation in Industry 5.0Chapter 6: AIoT for real-time traffic analysis and optimisationChapter 7: Role of data and IoT sensors in smart transportationChapter 8: AIoT-based safety and security in smart transportationChapter 9: Enhancing tourists' experience with AIoT in smart transportation systems for Industry 5.0Chapter 10: Promoting sustainable mobility for advancements in autonomous vehicle using AIoTChapter 11: Blockchain technology and cyber security in Intelligent transportation systemsChapter 12: Future of mobility: potential challenges and ethical considerationsChapter 13: Optimizing emergency response: an AIoT-powered approach to traffic managementChapter 14: AI on the move: a real-world use case of artificial intelligence enhancing transportationChapter 15: Future perspectives of AIoT for smart transportation