Urban Mobility and Challenges of Intelligent Transportation Systems

ISBN 13: 9798369379844

Edité par Engineering Science Reference, 2025

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N° de réf. du vendeur ria9798369379844_new

Détails bibliographiques

• Titre: Urban Mobility and Challenges of Intelligent Transportation Systems
• Éditeur: Engineering Science Reference
• Date de parution: 2025
• Langue: anglais
• ISBN à 13 chiffres: 9798369379844
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

Intelligent Transportation Systems (ITS) are transforming urban mobility by integrating advanced technologies to improve traffic flow, safety, and sustainability. By leveraging data-driven solutions such as adaptive traffic signals, real-time monitoring, and smart parking, ITS reduces congestion and enhances commuter efficiency. These systems also play a crucial role in public safety, with applications like collision avoidance and emergency response coordination. Furthermore, ITS supports environmental sustainability by promoting public transportation and integrating with electric and autonomous vehicle technologies. As cities continue to grow, ITS offers a scalable and intelligent approach to building more efficient, safe, and eco-friendly transportation networks. Urban Mobility and Challenges of Intelligent Transportation Systems provides a comprehensive, up-to-date, and accessible resource that bridges the gap between theoretical concepts, practical applications, and emerging trends in ITS. It provides insights on the design and implementation of ITS for smart urban mobility. Covering topics such as artificial intelligence (AI), energy forecasting, and urban development, this book is an excellent resource for transportation professionals, academicians, policymakers, technology developers, and more.

À propos de l?auteur

Dr. Kiranmai Bellam is currently working as an Associate Professor in the Department of Computer Science and Associate Dean at Roy G. Perry College of Engineering, Prairieview A&M University, Texas, USA. She completed her B.S. (Information Technology) from Madras University and her M.S. (Computer Science) from New Mexico Tech, USA. She obtained her PhD in computer science from Auburn University, USA. She has more than 15 years of teaching and research experience. Her research interests include energy-efficient algorithms, cybersecurity, and energy conservation. wireless networks, and deep learning. She has published many research articles at international conferences and in reputed international journals like IEEE, Springer, ACM, Taylor & Francis, etc. She is a member in IEEE, UPE, ACM, and SIGCSE.