Applied Computing for Intelligent Transportation Systems
Elsevier (Publisher)
Will be published approx. on 1. June 2027
Book
Paperback/Softback
290 pages
978-0-443-33378-1 (ISBN)
Description
Applied Computing for Intelligent Transportation Systems delves into the dynamic intersection where computer science meets transportation engineering. Its comprehensive coverage of cutting-edge ITS technologies offers sought-after research insights into the most effective integration strategies achievable through applied computing-informed methodologies.
This timely, interdisciplinary exploration of the ever-progressing solutions that are contributing to the transformation of transportation systems is accompanied by sustainability-minded considerations, which are at the forefront of road- and transit-based best practices worldwide. The volume also includes practical case studies and real-world examples, showcasing success stories and lessons learnt that facilitate understanding of the feasibility of implementation in smart-city projects.
With its aim of helping to bridge the gap between the theory and practice of enhancing ITS and the infrastructure that supports them, the book proves to be a valuable resource for readers in academia as well as industry.
This timely, interdisciplinary exploration of the ever-progressing solutions that are contributing to the transformation of transportation systems is accompanied by sustainability-minded considerations, which are at the forefront of road- and transit-based best practices worldwide. The volume also includes practical case studies and real-world examples, showcasing success stories and lessons learnt that facilitate understanding of the feasibility of implementation in smart-city projects.
With its aim of helping to bridge the gap between the theory and practice of enhancing ITS and the infrastructure that supports them, the book proves to be a valuable resource for readers in academia as well as industry.
More details
Language
English
Place of publication
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Weight
449 gr
ISBN-13
978-0-443-33378-1 (9780443333781)
Schweitzer Classification
Persons
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.
Content
1. Introduction to Intelligent Transportation Systems (ITS)
Part I. Foundations
2. Traffic Management and Control
3. Advanced Traffic Modeling and Communication
4. Intelligent Traffic Routing
Part II. Cutting-edge Technologies
5. Automated Vehicles (AVs)
6. Data Analytics for ITS
Part III. Enhancing System Efficiency
7. Predictive Maintenance and Infrastructure Monitoring
8. Emergency Response Systems
Part IV. Addressing Environmental Concerns, Ensuring Security, and Looking Ahead
9. Environmental Monitoring and Sustainability
10. Cybersecurity in ITS
11. Future Trends and Innovations in ITS
12. Conclusion
Part I. Foundations
2. Traffic Management and Control
3. Advanced Traffic Modeling and Communication
4. Intelligent Traffic Routing
Part II. Cutting-edge Technologies
5. Automated Vehicles (AVs)
6. Data Analytics for ITS
Part III. Enhancing System Efficiency
7. Predictive Maintenance and Infrastructure Monitoring
8. Emergency Response Systems
Part IV. Addressing Environmental Concerns, Ensuring Security, and Looking Ahead
9. Environmental Monitoring and Sustainability
10. Cybersecurity in ITS
11. Future Trends and Innovations in ITS
12. Conclusion