AI-Driven Transportation Systems: Real-Time Applications & Related Technologies

In today s rapidly advancing technological landscape, the integration of Artificial Intelligence (AI) and Intelligent Transportation Systems (ITS) is revolutionizing transportation. This integration is reshaping ITS by enhancing accuracy and reliability, enabling efficient navigation, and optimizing both traffic and public transport management. AI-Driven Transportation Systems: Real-Time Applications & Related Technologies explores the powerful synergy between AI and modern transportation infrastructures, highlighting their transformative impact on traffic management, autonomous vehicles, and real-time decision-making.
This book delves into the next generation of transportation systems, where AI-driven solutions enhance efficiency, safety, and sustainability. From intelligent traffic monitoring and predictive analytics to autonomous navigation and smart city applications, AI is redefining how transportation networks operate, ensuring seamless connectivity and optimized resource utilization. The authors provide in-depth analyses of emerging trends, addressing the challenges of AI integration in ITS, along with ethical considerations and anticipated future advancements. With a focus on cutting-edge research and real-world applications, this book serves as an essential resource for researchers, engineers, policymakers, and professionals interested in the future of AI-powered transportation. Whether you are exploring the potential of AI in transportation or seeking to understand the future of ITS, this book is your gateway to the next era of smart and connected transportation networks.

List of contents

1. Troglodytic architecture in southern Tunisia in the context of culture, space and society; vertical troglodytes in Matmata as a case study.- 2. Screening Cities: Cultural Heritage and Contemporary Urban Experience in East Asia.- 3. Exploring Tradition of the New on Dubai s Self-Image.- 4. Weaving Nature into the Urban Tapestry.- 5. Living on Stilts: An Architectural Analysis of Traditional Badjao Houses in Surigao City.

About the author

Hafsa Maryam is currently pursuing a Ph.D. at the University of Cyprus, Cyprus. Previously, she received her B.S. degree in Computer Science from PMAS-Arid Agriculture University, Pakistan, in 2014. Building on this foundation, she earned an M.S. degree in Computer Science from COMSATS University, Islamabad, Pakistan, in 2017.  She has over two years of industry experience as a software developer and has served as a visiting lecturer in the Software Engineering Department at IUSE School of Engineering & Management Sciences, affiliated with UET Taxila, Rawalpindi, Pakistan, in 2018. From 2018 to 2020, she worked as a lecturer in the Computer Science Department at BIMS, affiliated with PMAS-Arid Agriculture University in Rawalpindi, and at the Institute of Space Technology (IST), Islamabad - KICSIT campus, Pakistan. She is the author/co-author of multiple research papers published in national and international conferences, book chapters, and journals.
Mehak Mushtaq Malik is currently a junior researcher at Delta and pursuing her Ph.D. at University of Tartu, Estonia. Previously, she worked as a research scientist at KIOS Research and Innovation Center of Excellence. She did her M.S. degree in Computer Science from COMSATS University Islamabad. She completed her bachelor’s degree in software engineering from COMSATS University Islamabad. She achieved the award of distinction with silver medal. She also held various positions of distinction in different semesters of her bachelor’s degree. She presented in 2nd International Workshop on Intelligent Systems for Sustainable Smart Cities, I3SC'23. She also presented in 1st International Conference on Emerging Trends & Innovation (1st ICETI). She is an editor of two books which are published in Springer Nature.
Dr. Inam Ullah Khan is a distinguished academic and industry expert in AI, AGI, UAVs, routing protocols, IDS, ML/DL, and evolutionary computing. He is the Founder of AI-EYS and a Senior IEEE member with affiliations in IAENG and various IEEE councils. He currently serves as Postdoctoral Research Fellow at Multimedia University, Malaysia, and Visiting Faculty at NAVTTC and PSGR Krishnammal College, India. He previously held research and faculty positions at King’s College London, NUTECH, CESET, SZABIST, and others. Dr. Khan holds a Ph.D. and M.S. in Electronics Engineering (Isra University) and a B.S. in Computer Science. Author of 100+ publications and editor of 20+ books, he has been featured on Pakistan National TV for his AI expertise.
Prof. Shashi Kant Gupta, is a Postdoctoral Fellow in Computer Science at Eudoxia Research University, USA, and the Research Institute of IoT and Cybersecurity, National Kaohsiung University of Science and Technology, Taiwan. He serves as Adjunct Professor at Lincoln University College (Malaysia), Chitkara University (India), Saveetha School of Engineering (India), and MAAUN (Nigeria), among others. With over 14.5 years of academic experience and 2 years in industry, he is the Founder & CEO of CREP Pvt. Ltd. and editor-in-chief of IJDIIC and IJETCC. He has published widely in SCOPUS/SCI journals, holds international patents, and edits books with Springer, CRC, Wiley, and Taylor & Francis. His research focuses on cloud computing, big data, IoT, and education technology. He is a senior editor, IEEE member, and recipient of multiple international awards.

Summary

In today’s rapidly advancing technological landscape, the integration of Artificial Intelligence (AI) and Intelligent Transportation Systems (ITS) is revolutionizing transportation. This integration is reshaping ITS by enhancing accuracy and reliability, enabling efficient navigation, and optimizing both traffic and public transport management. AI-Driven Transportation Systems: Real-Time Applications & Related Technologies explores the powerful synergy between AI and modern transportation infrastructures, highlighting their transformative impact on traffic management, autonomous vehicles, and real-time decision-making.
This book delves into the next generation of transportation systems, where AI-driven solutions enhance efficiency, safety, and sustainability. From intelligent traffic monitoring and predictive analytics to autonomous navigation and smart city applications, AI is redefining how transportation networks operate, ensuring seamless connectivity and optimized resource utilization. The authors provide in-depth analyses of emerging trends, addressing the challenges of AI integration in ITS, along with ethical considerations and anticipated future advancements. With a focus on cutting-edge research and real-world applications, this book serves as an essential resource for researchers, engineers, policymakers, and professionals interested in the future of AI-powered transportation. Whether you are exploring the potential of AI in transportation or seeking to understand the future of ITS, this book is your gateway to the next era of smart and connected transportation networks.

Product details

• Assisted by: Shashi Kant Gupta (Editor), Inam Ullah Khan (Editor), Mehak Mushtaq Malik (Editor), Hafsa Maryam (Editor), Mehak Mushtaq Malik (Editor), Inam Ullah Khan et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 20.09.2025
• EAN: 9783031983481
• ISBN: 978-3-0-3198348-1
• No. of pages: 340
• Illustrations: XX, 340 p. 20 illus.
• Series: Information Systems Engineering and Management
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; machine learning, Optimization, Datenbanken, Artificial Intelligence, Deep Learning, Internet of things, Security, Verkehrsingenieurwesen, Verkehrsplanung, Edge Computing, Transportation Technology and Traffic Engineering, Data Engineering, Computational Intelligence, Smart Cities, Intrusion Detection Systems, autonomous vehicles, Flying Ad hoc Networks, Route Optimization