Artificial Intelligence Technologies for Smart and Sustainable Urban Transportation

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Artificial Intelligence Technologies for Smart and Sustainable Urban Transportation is written by Pethuru Raj and published by John Wiley & Sons. It's available with International Standard Book Number or ISBN identification 1394346751 (ISBN 10) and 9781394346752 (ISBN 13).

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.