"Smart Mobility and Intelligent Transportation Systems for Commercial and Hazardous Vehicles covers an array of various topics in this emerging field. The chapter authors discuss the challenges and solutions to transportation issues that involve such intelligent applications as artificial intelligence, Internet of Things, Neural networks, blockchain, machine learning, big data, etc. This volume considers the use of smart technologies in commercial and hazardous vehicles, for vehicle pedestrian detection,in the planning of smart cities for traffic patterns, for the improvement of transportation power stations, for smart railway cargo management systems, and more. The volume also addresses some of the various elements that go into transportation, such as the use of industrial IoT for smart manufacturing. Key Features: Provides an introduction to smart mobility and intelligent transportation systems. Gives an overview of commercial and hazardous vehicle operations. Explores the employment of artificial intelligence, Internet of Things, neural networks, blockchain, machine learning, big data in smart vehicle and transportation design and management. Presents new modalities for research, such as various algorithms that could be applied for smart mobility. Discusses the trends and research challenges in adopting smart methods and techniques for commercial transportation. Provides deep insight into the advancements in the integration of artificial intelligence with big data related to smart mobility. This volume will be of vital interest to scientists, researchers, automotive industry professionals, faculty and students in several fields of study, including transportation, computer science and engineering, and electronics engineering"--
This new volume considers the use of smart technologies in commercial and hazardous vehicles, looking at the challenges and solutions to transportation issues that can be solved with such intelligent applications as artificial intelligence, Internet of Things, neural networks, blockchain, machine learning, big data, etc. The book illustrates the use these smart technologies for vehicle pedestrian detection, in the planning of smart cities for traffic patterns, for the improvement of transportation power stations, for smart railway cargo management systems, and more.
Discusses the challenges and solutions to transportation issues involving smart applications like artificial intelligence, Internet of Things, Neural networks, blockchain, machine learning, etc. It considers the use of smart technologies in commercial and hazardous vehicles, for vehicle pedestrian detection, and more.
1. Smart Mobility and Intelligent Transportation Systems for Commercial and Hazardous Vehicles
2. Industrial IoT in Smart Manufacturing
3. Learning Using Neural Networks for Smart Mobility
4. Smart Mobility Using AI and Intelligent Agents
5. Blockchain for Efficient and Improved Strategy of Power Stations
6. Artificial Intelligence-Based Smart City
7. Optimized Machine Learning-Based Pedestrian Detection for Autonomous Vehicles
8. Smart Railway Cargo Management System Using Big Data
9. Transport in New Era Using Artificial Intelligence
10. Machine Learning and IoT for Urban Intelligence
Naga Swetha Pasupuleti, PhD, is Associate Director of International Relations at SRM University, Andhra Pradesh, India. She has over 15 years of leadership experience as an academician and administrator in academics, research, industry, and administration. She has worked in various parts of the world (USA, Africa, UAE, etc.). As a researcher, she specializes in sustainable transportation, transportation safety, ITS (intelligent transportation systems), and transportation planning. She has published nine books and several papers in reputed national and international journals.
T. Poongodi, PhD, is Professor of Computing Science and Engineering at the Galgotias University, Delhi, NCR, India. Her research interests include network security, wireless ad hoc and sensor networks, internet of Things (IoT), computer networks, and blockchain technology for emerging communication networks. She is CISCO, Oracle Academy certified, and teaches courses on networking and structured query language. Dr. Poongodi has published many book chapters and papers in international journals and conferences as well as ten books in the areas of IoT, data analytics, blockchain technology, artificial intelligence, machine learning, and healthcare informatics. She has received awards for her work and has received invitations to address international conferences as a keynote speaker.
Balamurugan Balusamy, PhD,is Associate Dean-Student Engagement at the Shiv Nadar Institution of Eminence, Delhi, NCR, India. He is also an Adjunct Professor of Computer Science and Information Engineering at Taylor University, Malaysia. He formerly Professor at the School of Computing Sciences and Engineering and Director of International Relations at Galgotias University, India, and Associate Professor at VIT University, Vellore, India. He is included on Stanford University's list of Top 2% Scientists Worldwide 2023 in Data Science/AI/ML. He has over 200 papers published in high-impact journals as well as over 200 edited and authored books. He serves on the expert advisory panel for several start-ups and forums and does consultancy work for the industry on industrial IoT.
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