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Applied Computing for Intelligent Transportation Systems
- 1st Edition - September 1, 2025
- Authors: Shiju George, Ajit Kumar Santra, Asha Joseph
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 3 7 8 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 3 7 9 - 8
Applied Computing for Intelligent Transportation Systems delves into the dynamic intersection where computer science meets transportation engineering. Its comprehensive… Read more
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Request a sales quoteApplied 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.
- Systematically covers intelligent transportation systems, ensuring readers gain a solid understanding of core concepts and stay up-to-date with the most current developments.
- Illustrates the tangible relevance of applied computing in transportation engineering through real-world application examples and case studies.
- Prepares readers for the ever-evolving intelligent transportation systems’ landscape and to harness the full potential of applied computing in this context.
Postgraduate students, researchers, and academics in intelligent transportation engineering; (applied) computing and information science; automotive engineering technology; civil and infrastructure engineering.
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
- No. of pages: 290
- Language: English
- Edition: 1
- Published: September 1, 2025
- Imprint: Elsevier
- Paperback ISBN: 9780443333781
- eBook ISBN: 9780443333798
SG
Shiju George
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.
Affiliations and expertise
Associate Professor and Head of Dept., Dept. of Information Technology, Amal Jyothi College of Engineering, Koovappally, Kanjirappally, Kottayam, IndiaAS
Ajit Kumar Santra
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.
Affiliations and expertise
Senior Professor, Division of Network and Information Security, Dept. of Information Technology, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, IndiaAJ
Asha Joseph
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.
Affiliations and expertise
Professor and IQAC Director, Dept. of Information Technology, Amal Jyothi College of Engineering, Koovappally, Kanjirappally, Kottayam, India