1st Edition

Modeling and Simulation of Intelligent Transportation Systems

    240 Pages 58 B/W Illustrations
    by CRC Press

    As transport networks become more congested there is a growing need to adopt policies that manage demand and make full use of existing assets. Advances in information technology are now such that intelligent transportation systems (ITS) offer real potential to meet this challenge: by monitoring current conditions, predicting what might happen in the future and providing the means to manage transport proactively and on an area-wide basis. Modeling and Simulation of Intelligent Transportation Systems provides engineers, professionals, and researchers an intuitive appreciation for ITS theory, related sensor technologies, and other practical applications, including traffic management, safety, design optimization, and sustainability.

    • Provides the theory and practical applications of intelligent transport theory which will be helpful as highway construction recedes as a sustainable long-term solution.
    • Includes several case studies that illustrate the concepts presented throughout.







    4. BIG DATA ANALYTICS FOR ITS                                            


    5. MACHINE LEARNING IN ITS                                                  












    Wael A. Altabey is a research associate professor since 2018 at International Institute for Urban Systems Engineering (IIUSE), Southeast University, Nanjing, China, and National and Local Joint Engineering Research Center for Basalt Fiber Production and Application Technology, Southeast University, Nanjing, Jiangsu, China, after completing a postdoctoral research fellowship for two years (2016-2018), Before that he was an Associate professor at department of Mechanical Engineering, Alexandria University, Alexandria, Egypt. Since 2016 his researches have focused on the utilization of Artificial Intelligence (AI) based schemes for structural health monitoring (SHM) and Non-Destructive Testing (NDT) for damage classification, detection, diagnosis, prediction, and dynamic response analysis in composite, and steel Structures (such as aircraft, wind turbines, pipes, bridges and industrial machines) at National and Local Joint Engineering Research Center for Basalt Fiber Production and Application Technology, Southeast University, Nanjing, Jiangsu, China. This is the only national R&D platform awarded by the National Development and Reform Commission in this industry with more than 30 national authorized patents. The center's international and national awards indicators have reached international and local leading levels and filling many technical gaps in China. He participated in several research activities, which achieved from NSFC and private sectors. He listed in Stanford List of World's Top 2% Scientists from 2020, until now. He is Member in Intelligent and Resilient Infrastructure (IRI) Center, this is the official center affiliated with the Southeast-Leeds-Cambridge universities collaboration program. He was research scientist at Nanjing Zhixing Information Technology Co., Ltd., Nanjing, Jiangsu, China. He serves on various technical committees in several international conferences and workshops, guest editor of special Issues in several international scientific journals and on the editorial board of several international scientific journals in the field of artificial intelligence, mechanical, materials, and civil engineering. He a peer reviewer of more than 150 international scientific journals. He is an author and co-author of more than 110 high impact journal papers, 50 scientific conference papers and 30 chapters, 10 academic and research books, patent, and delivered over 40 invited talks. His research interests: Smart and Nanomaterials; Composite Structures; Structural Health Monitoring (SHM); Artificial Intelligence (AI); Non-Destructive Testing (NDT); Digital Twins  Model of Structural Behavior, System Identification; Damage Detection: Vibration-Based Techniques; Fiber Optical Sensing Technique, Structural Control; Structural Resilience and Reliability, Hysteretic Systems, Micro/Nano Electro Mechanical Systems (MEMS/ NEMS), and Energy Harvesting Model for Self-Powered Sensors.

    Mohammad Noori is a Professor of Mechanical Engineering at Cal Poly, San Luis Obispo, a Fellow and Life Member of the American Society of Mechanical Engineering and a recipient of the Japan Society for Promotion of Science Fellowship. His work in nonlinear random vibrations, especially hysteretic systems, in seismic isolation and application of artificial intelligence methods for structural health monitoring is widely cited. He has authored over 300 refereed papers, including over 150 journal articles, has published 15 scientific books, 31 book chapters in archival volumes, has edited 15 technical books, and has been the Guest editor of 15 journal volumes and proceedings. Noori was a co-founder of the National Institute of Aerospace, established through a $379 million 15-year NASA contract in partnership with NASA Langley Research Center. He has also received over $14 million in support of his research from NSF, ONR, National Sea Grant, and industry. He has supervised 24 post doctoral, 26 PhD and 53 MS projects. He has given over 20 keynote and 76 invited talks and lectures. He is the founding executive editor of a scientific Journal, serves on the editorial board, or as the associate editor, of over 15 other journals, and has been a member of the scientific committee of numerous conferences. He directed the Sensors Program at the National Science Foundation in 2014, has been a distinguished visiting professor at several highly ranked universities in Europe and Asia, and serves as the scientific advisor for several organizations and technical firms. He was the dean of engineering at Cal Poly, and served as a Chaired professor and department head at NC State University and WPI and as the Chair of the national committee of mechanical engineering department heads. Noori has developed a unique online course, How to Write an Effective Research Paper, offered by Udemy.com, taken by over 9,000 students world-wide. Noori is an elected member of Sigma Xi, Pi Tau Sigma, Chi-Epsilon, and Sigma Mu Epsilon honorary research societies. In 1996 Noori was invited by President Clinton's Special Commission on Critical Infrastructure Protection and presented a testimony as a national expert on that topic. Noori is the Founding Editor of Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems Series of CRC Press/Taylor and Francis.

    Weixing Hong  Chairman of Nanjing Zhixing Information Technology Co., Ltd., Executive Dean of Jiangsu Advanced Transportation Institute, and Senior Engineer. Weixing Hong also serves as the Chairman of the Enterprise Committee of the ISHMII International Structural Health Monitoring Association, a member of the ISO TC204 World Intelligent Transportation International Standard Expert Group, a member of the Autonomous Driving Working Committee of the China Highway Society, and a member of the Information Technology Working Committee of the Jiangsu Comprehensive Transportation Society. Nanjing Zhixing Information Technology Co.,Ltd. and Jiangsu Advanced Transportation Institute is high-tech enterprises that integrate industry, academia, and research. With the core technologies of the IoT, Cloud Computing, Big Data, AI, and relying on the industry background of traffic analysis and management, they are committed to combining ‘Intelligent+’ technology with transportation infrastructure construction and maintenance, providing equipment and platform services centered on transportation intelligent sensing and industry application algorithms. 

    Ahmed Ishag Hassan Silik is a recent doctoral recipient from Southeast University, Nanjing, China and currently works as a research associate at IIUSE as part of Professor Zhishen Wu’s group. Before that he was a lecturer at the department of civil engineering, Nyala University, Nyala, Sudan and worked as a consultant Civil Engineer in Sudan. He is a Fellow of the Sudanese Engineering Council. His main research interests are focused on the utilization of wavelet transform and AI-based techniques for structural health monitoring, damage identification and big data analysis in civil structural engineering. He has been actively involved in several research topics and activities in the area of SHM related to damage prediction and assessment of structures and bridges, including a collaborative project with colleagues at Saitama University, Japan. He has also been involved an NSFC project on dynamic response assessment and modeling of hysteretic systems. He has published several peer reviewed journal manuscripts and attended several scientific conferences.