The aim of the book is to explore and highlight the latest techniques and applications of Artificial Intelligence (AI) and fuzzy logic in the development of Intelligent Transportation Systems (ITS). It seeks to offer a detailed examination of how these technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. The book employs several novel approaches and special design features. It includes case studies and real-world examples to illustrate the practical applications of the discussed technologies. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is designed to be self-contained, providing both a theoretical background and practical insights, making it accessible to a broad audience. Additionally, the book features contributions from leading experts in the field, ensuring that the content is both current and relevant.
This book:
- Presents advanced methodologies in artificial intelligence and fuzzy logic, specifically designed to enhance intelligent transportation systems.
- Offer a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation.
- Bridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problems
- Includes theoretical foundations, algorithmic developments, and practical case studies specifically related to artificial intelligence in the context of smart transportation.
- Discusses topics such as predictive weather impact on traffic management, enhancing road safety with artificial intelligence and fuzzy logic, and smart parking systems in urban areas.
It is primarily written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
Table of Contents:
1. Intelligent transportation systems: Architectures, applications, and future directions. 2. Artificial intelligence and fuzzy logic for next-generation intelligent transportation systems. 3. AI algorithms in transportation: An overview. 4. Transforming traditional traffic systems: Applications of artificial intelligence, fuzzy logic, and IoT in next-generation transportation. 5. AI-enhanced traffic management: AI-driven traffic intelligence and cloud-based VCC (Vehicular Cloud Computing) for smarter mobility. 6. Enhancing public transportation efficiency: Integrating fuzzy logic and AI. 7. Traffic flow prediction and optimization. 8. An XGBoost-based method for predicting urban transport modes in the rabat area. 9. AI and fuzzy logic in traffic accident prediction and prevention. 10. Enhancing road safety through artificial intelligence and fuzzy logic-based intelligent systems. 11. The transformative impact of autonomous vehicles in urban transport: Robotaxis. 12. Autonomous vehicles and intelligent transportation. 13. Intelligent time-delay compensation in lateral control of autonomous vehicles using smith predictor and LMI techniques. 14. Advanced intelligent control strategies for enhanced lateral dynamics of autonomous vehicles. 15. Adaptive sliding mode control approach for lateral dynamics control of an autonomous vehicle. 16. Securing transportation systems: Integrating zero trust architecture and artificial intelligence through resource-based view and institutional theory. 17. Decarbonization pathways in transportation systems: A machine learning approach for developing countries. 18. Towards industry 5.0: Data-driven sustainable transportation for carbon footprint reduction.
About the Author :
Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is a member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she has been an "ACM Professional Member". She is an Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 100 papers (book chapters, international journals, and conferences/workshops), 36 edited books, and 10 special issues as guest editor.
Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and resource allocation management and access control. She is serving as a reviewer for international journals and conferences including IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of the “International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She has published more than 70 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 22 edited books, and 6 special issues as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums / Workshops / Conferences.
Najib Ben Aoun received the Master and the PhD degrees in Computer Systems engineering from the National School of Engineers Sfax (ENIS), Tunisia. He has more than 18 years of teaching as well as Bachelor, Master and PhD students mentoring and co-mentoring experience. He is currently an assistant professor at the Faculty of Computing and Information (FCI) at Al-Baha University, Saudi Arabia. He is also a senior researcher within the REsearch Groups in Intelligent Machines (REGIM-Lab). His main research interests are focused on machine learning models for computer vision and data science applications. He has published numerous research papers in reputed international conferences and high-level journals. Besides, Dr. Najib is an academic editor of PLOS ONE and the Science Publications journal of computer science since 2022 and a guest associate editor in Frontiers in Computational Neuroscience journal since 2024. In addition, he has participated in the organization of several international conferences and workshops (steering committee member, publication chair, session chair, publicity committee member, technical committee member, etc.) and served as a reviewer for numerous international conferences and journals. Dr. Najib is currently an ACM, IAPR, MIRLabs, IAES, IEEE and IEEE SPS member as well as IEEE SPS IVMSP, MMSP and MLSP technical committee affiliate member. He was the secretary and the treasurer of the SPS Tunisia chapter in 2015-2016 and the IEEE SPS student branch chapter chair at ENIS during 2011-2012 (treasurer during 2010). In 2013, Dr. Najib has obtained the IEEE appreciation award for his contributions as vice-chair of the SPS Tunisia Chapter.
Anass Cherrafi is an Associate Professor at EST-Safi, Cadi Ayyad University, Morocco. Holding a Ph.D. in Industrial Engineering, he has nine years of industry and teaching experience. In 2022, Anass Cherrafi has received the Moroccan Scopus award from the ministry of higher education, CNRST and Elseiver as the first research in Morocco in “Business, Management, and Accounting”. He has published a number of articles in leading international journals including International Journal of Production Research, International Journal of Production Economics, Production Planning and Control, Business Strategy and the Environment, Journal of Cleaner Production and many others. He has been a Guest Editor for special issues of various international journals, and He has edited two books with springer. His research interests include Industry 4.0 / 5.0, Green manufacturing, Circular Economy, Lean Six Sigma and Supply Chain Management.
Rahul Kar is currently working as a faculty of Mathematics at Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal. He has completed M.SC in PURE Mathematics and pursuing Ph.D. in Mathematics from Bankura University. He has worked as a guest faculty of Gurunanak Institute of Technology and other 2 colleges. In total he has 8 Years of teaching experience. He has published many research papers with Scopus index. He also working as an editor of 4 national and international journal and reviewer at 5 international journals. He is working as an editor of 15 mathematics/computer book. He is an annual member of Indian Mathematical Society as well as honorary member of Carmels Research Institute, Dakar, Senegal.
