Urban Planning

Artificial Intelligence for Future Intelligent Transportation
Smarter and Greener Infrastructure Design

Editor: Rajesh Kumar Dhanaraj, PhD
Nilayam Kumar Kamila, PhD
Subhendu Kumar Pani, PhD
Balamurugan Balusamy, PhD
Vani Rajasekar, PhD

Artificial Intelligence for Future Intelligent Transportation

Published. Available now.
Pub Date: January 2024
Hardback Price: see ordering info
Hard ISBN: 9781774913529
E-Book ISBN: 9781003408468
Pages: 336pp w/index
Binding Type: Hardback / ebook
Notes: 6 color and 122 b/w illustrations

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements.

The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts.

Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

CONTENTS:
Preface
1. Introduction to Artificial Intelligence in Smart Transportation
Gaurav Dhuuriya, Tanul Prabhat Rai, Shubhang Sinha, Prashant Johri, Dev Aroa, and Devansh Arora

2. AI Approaches in Intelligent Transportation Systems
Nithya K., Mythili S., Kalamani M., and Krishnamoorthi M.

3. Smart Air Pollution Monitoring and Prediction System Using Deep Learning Enabled IoT Technology
Karthick Raghunath. K. M., K. S. Arvind, K. S. Suganya, and R. Vinothsaravanan

4. Various AI Models to Mitigate Transport Pollution
Janani T., Sobiyaa P., Sathis Kumar K., Naveena S., and Ponnila P.

5. Neural Network Approaches for Transportation
Gayathiri N. R., Nithyapriya S., Malathi T., Kodieswari A., and Sabarmathi K. R.

6. Statistical AI Model in Intelligent Transportation System
Kodieswari A., Sabarmathi K. R., Remya K., Gayathiri N. R., Nithyapriya S., and Malathi T.

7. Reinforcement Learning in Smart Transportation
Malathy S., C. N. Vanitha, and Rajesh Kumar Dhanaraj

8. Role of AI and IoT in Intelligent Transportation
Pawan Whig, Arun Velu, Rahul Reddy Nadikattu, and Yusuf Jibrin Alkali

9. Potential Applications of AI in Transportation
C. N. Vanitha, S. Malathy, and C. Sharmila

10. AI Techniques for Future Smart Transportation
Anbukkarasi S., and Dhivyaa C. R.

11. AI-Based Green Transportation: A Sustainable Approach
Kabeer Tijjani Saleh, Auwal Alhassan Musa, Salim Idris Malami, Yasemin Sarikaya Levent, and Shashivendra Dulawat

Index


About the Authors / Editors:
Editor: Rajesh Kumar Dhanaraj, PhD
Professor, Symbiosis International (Deemed University), Pune, India

Rajesh Kumar Dhanaraj is a Professor in Symbiosis International (Deemed University), Pune, India. Prior to this assignment he was Professor, School of Computing Sciences & Engineering, Galgotias University, Greater Noida, India. He received the B.E. degree in Computer Science and Engineering from the Anna University Chennai, India in 2007 and the M.Tech from the Anna University Coimbatore, India in 2010 and Ph.D. degree in Computer Science from Anna University, Chennai, India, in 2017. He has contributed 45+ Authored and Edited books on various technologies, 21 Patents and 100+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. He has collaborated with eminent professors across the world from top QS ranked universities. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He has delivered many research talks on Applied AI and Cyber Physical Systems at various institutes. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA); and International Association of Engineers (IAENG). He is serving as an Associate Editor and Guest Editor for reputed journals Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, Hindawi - Mobile Information Systems, etc. He is an Expert Advisory Panel Member of Texas Instruments Inc USA.

Nilayam Kumar Kamila, PhD
Manager, Platform & Data Architecture Engineering Stream, Retail & Direct Technology, Capital One, USA

Nilayam Kumar Kamila, PhD, is an experienced Technical Architect and Lead, currently working as a Manager in Platform and Data Architecture Engineering Stream under Retail and Direct Technology in Capital One, USA. He is currently an active member of IEEE and imparts his profound knowledge in the fields of science and engineering. He received prestigious professional certifications in machine learning, neural networks, and deep learning from Stanford University, USA. He completed his MS in Science, Master in Computer Application, and Master of Technology in Computer Science at Utkal University, India. He was awarded his PhD from Sri University, India, in 2017, in Computer and Information Systems.

Subhendu Kumar Pani, PhD
Professor, Krupajal Engineering College, Odisha, India

Subhendu Kumar Pani, PhD, is Professor in the Department of Computer Science and Engineering and Research Coordinator at Krupajal Engineering College (KEC) Bhubaneswar, India. He has more than 15 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision-making, and computational intelligence. He is the recipient of five researcher awards. In addition to research, he has guided many PhD and MTech students. He has published over 50 international journal papers (many of which are Scopus indexed). His professional activities include roles as associate editor, editorial board member, and reviewer of various international journals. He is associated with several conferences and societies. He has more than 150 international publications, several authored books and edited books, and book chapters to his credit. He is a fellow of the Scientific Society of Advanced Research and Social Change and a life member in many other professional organizations. Dr. Pani is also editor of the book series AAP Advances in Artificial Intelligence & Robotics.

Balamurugan Balusamy, PhD
Associate Dean ,Student Engagement in Shiv Nadar Institute of Eminence , Delhi-National Capital Region (NCR), India

Balamurugan Balusamy, PhD, is currently working as Associate Dean, Student Engagement in Shiv Nadar Institute of Eminence, Delhi-National Capital Region (NCR), India. His contributions focus on engineering education, blockchain, and data sciences. His academic degrees and twelve years of experience working as a faculty in global universities such as VIT University, Vellore, have made him more receptive and prominent in his domain. He has over 200 papers published in journals from Springer, Elsevier, and IEEE. He edited and authored more than 50 books and has collaborated with eminent professors across the world from top QS-ranked universities. Prof. Balusamy was formerly Associate Professor for 12 years at VIT University, Vellore, India.

Vani Rajasekar, PhD
Assistant Professor, Department of Computer Science and Engineering, Kongu Engineering College, Tamil Nadu, India

Vani Rajasekar, PhD, is Assistant Professor in the Department of Computer Science and Engineering at Kongu Engineering College, Tamil Nadu, India. Her areas of interest include cryptography, biometrics, network security, and wireless networks. She has authored around 25 research papers and book chapters published in various international journals and conferences, which were indexed in SCI, Scopus, and Web of Science. Dr. Rajasekar completed a BTech (Information Technology), MTech (Information and Cyberwarfare) at the Department of Information Technology, Kongu Engineering College, Tamil Nadu, India. She completed her PhD (Information and Communication Engineering) in Biometrics and Network Security.




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