Applied Computing for Intelligent Transportation Systems

Dr. George received a PhD in Computational Analytics from the Vellore Institute of Technology, Vellore, India, in 2022 and has been teaching at various engineering institutions since 2003. He is also a member of IEEE and the International Association of Engineers. His primary research interests include intelligent transportation systems, autonomous vehicles, artificial intelligence/big data/machine learning/deep learning applied to transportation engineering, computational intelligence, data analytics and soft computing.Dr. Santra received a PhD in Operations Research with Computer Applications from the Indian Institute of Technology, Kharagpur, India, in 1981. Over the course of his career, he has gained experience both in the industry sector (steel research) and in academic teaching. He is a lifetime member of the Computer Society of India, the Indian Society for Technical Education, and the Indian Science Congress Association. His research interests include machine learning, image processing, neural networks, applied artificial intelligence, soft computing, predictive modeling, and computational learning theory. Dr. Joseph received a PhD in Operating System Security from the Vellore Institute of Technology, Vellore, India, in 2020 and has been teaching at the Amal Jyothi College of Engineering since 2021. Her previous professional experience includes some lecturer roles and a stint (2005-2010) as a software engineer in industry, at Compaq (TX, USA) and Silver Lining Tech (Bangalore, India). She is a senior member of IEEE, a member of ISTE, NCSSS, and ACM. Her research interests include smart operating systems, artificial intelligence, machine learning, computational intelligence, deep learning, big data, data science, and digital forensics.

• 1. Introduction to Intelligent Transportation Systems (ITS)Part I. Foundations2. Traffic Management and Control3. Advanced Traffic Modeling and Communication4. Intelligent Traffic RoutingPart II. Cutting-edge Technologies 5. Automated Vehicles (AVs)6. Data Analytics for ITSPart III. Enhancing System Efficiency7. Predictive Maintenance and Infrastructure Monitoring8. Emergency Response SystemsPart IV. Addressing Environmental Concerns, Ensuring Security, and Looking Ahead9. Environmental Monitoring and Sustainability10. Cybersecurity in ITS11. Future Trends and Innovations in ITS12. Conclusion