Explores the future of transportation and provides a comprehensive guide to leveraging cutting-edge digital technologies and AI-powered platforms for creating smart, energy-efficient, and sustainable urban transportation systems.
As urbanization accelerates globally, transportation has become a major contributor to environmental degradation and climate change. Rising greenhouse gas (GHG) emissions―including carbon dioxide (CO2), methane, ozone, nitrous oxide, and chlorofluorocarbons―pose a serious threat to air quality and environmental sustainability. To counteract these challenges, nations advocate smart, eco-friendly urban mobility solutions. This book presents the latest advancements and transformative trends in urban transportation, emphasizing emerging digital technologies that foster sustainability. The integration of artificial intelligence, 5G and 6G, cybersecurity, the Internet of Things, blockchain, edge computing, and cloud-native infrastructures enhances intelligent and energy-efficient transportation systems. Experts and environmental advocates champion innovative software platforms and solutions essential for modernizing mobility. This book examines the foundational technologies driving this transformation and explores AI-powered platforms and management solutions shaping the future of urban transportation, making it an essential resource for beginners and seasoned professionals alike.
- Uncovers the innovative features of artificial intelligence in urban transportation, illustrating how integrated platforms enhance operational efficiency and sustainability at both macro and micro levels;
- Delves into the most common AI techniques and algorithms used in modern urban mobility systems;
- Focuses on how the evolution of AI paradigms supports real-time decision-making, transforming urban transportation planning and management;
- Examines the integration of trust management and advanced cybersecurity measures within AI-powered transportation systems;
- Provides a collection of case studies and detailed analyses of AI-based integrated platforms, offering theoretical perspectives and practical examples of technological advancements and their challenges.
Pethuru Raj, PhD is the Chief Architect in the Edge AI division of Reliance Jio Platforms Ltd. He has published more than thirty research papers in peer-reviewed journals, authored and edited forty-two books, and contributed fifty-four book chapters. He focuses on emerging technologies such as the Internet of Things, artificial intelligence model optimization, big and streaming data analytics, and blockchain.
Sudesh Yadav, PhD is an Assistant Professor in the Govt. College, Ateli, Distt-Mahendergarh, Haryana, India. She has published and reviewed many research papers in refereed international journals and conferences. Her areas of interest include artificial intelligence, IoT, digital image processing, soft computing and pattern recognition, and natural language processing.
Manas Kumar Mishra, PhD is a Professor at the IMS Engineering College, Ghaziabad, Uttar Pradesh, India. He has published more than 80 book chapters and research articles in international journals of repute. His research interests include distributed systems, mobile computing, artificial intelligence, and wireless sensor networks.
Satya Prakash Yadav, PhD is an Associate Professor in the Department of Computer Science and Engineering at the Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India with more than 17 years of experience. He has published four books, two patents, and many research papers in international journals. His research focuses on image processing, information retrieval, digital image processing, feature extraction, information retrieval, C++, C#, and Java.
Victor Hugo C. de Albuquerque, PhD is a Professor and Senior Researcher in the Department of Teleinformatics Engineering at the Federal University of Ceará, Brazil. He is a member of the Brazilian Society of Biomedical Engineering. He has experience in biomedical science and engineering, with a focus on applied computing, intelligent systems, visualization and interaction, artificial intelligence, and image processing and analysis.
