The Future of Intelligent Transport Systems - 1st Edition - ISBN: 9780128182819

The Future of Intelligent Transport Systems

1st Edition

Authors: Lorna Uden George Dimitrakopoulos Iraklis Varlamis
Paperback ISBN: 9780128182819
Imprint: Elsevier
Published Date: 1st February 2020
Page Count: 256
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The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. The book presents a comprehensive solution for up-to-date knowledge on a topic that has the potential to transform all aspects of transportation in the near-future.

Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility.

Key Features

  • Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies
  • Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving
  • Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS


Researchers and postgraduate students in Intelligent Transportation Systems and Transport Engineering, Planning, Systems Management, and Networks; planning professionals, local governmental authorities, city administrations, city planners, transportation authorities

Table of Contents

PART 1: ITS Technology enablers
1. Sensing systems for ITS
2. Communication advances and ITS
3. Computing technologies for ITS

PART 2: ITS users
4. User requirements and preferences for ITS
5. Co-creation of value for user experiences
6. User behaviour and classifications
7. User acceptance and ethics of ITS

PART 3: ITS business models
8. ITS stakeholders and relations
9. ITS Business analytics
10. ITS customized services
11. ITS business and revenue models
12. ITS and marketing

PART 4: ITS regulations, policies and standards
13. Regulatory bodies for ITS
14. Policies and policy making in ITS
15. ITS standardization bodies and standards
16. ITS programs and strategies worldwide

PART 5: The future of ITS applications
17. Transportation network applications
18. Autonomous Driving levels and enablers
19. Intelligent Transport Systems and Smart Mobility
20. Big Data Analytics for Intelligent Transportation Systems
21. Personalized Mobility Services and AI
22. Integrated mobility for smart cities
23. Conclusions and way forward


No. of pages:
© Elsevier 2020
Paperback ISBN:

About the Author

Lorna Uden

Lorna Uden is Adjunct Professor at Vellore Institute of Technology in Tamil Nadu, India. Her research interests include learning technology, web engineering and technology, big data, knowledge management, and the Internet of Things. She has authored more than 200 papers, and is on the editorial board of several international journals, including as the founder and editor-in-chief for the International Journal of Web Engineering and Technology, and the International Journal of Learning Technology.

Affiliations and Expertise

Adjunct Professor, Vellore Institute of Technology, Tamil Nadu, India

George Dimitrakopoulos

George Dimitrakopoulos is Assistant Professor in the Department of Informatics and Telematics at the Harokopio University of Athens. His research interests include high-speed wireless access networks, optimization and performance evaluation of wireless systems, applications of wireless networks, intelligent transport systems, wireless healthcare, smart radio systems, and information technology education. He has authored more than 100 articles, and is involved in research and development projects in transportation and urban mobility.

Affiliations and Expertise

Assistant Professor, Department of Informatics and Telematics, Harokopio University of Athens

Iraklis Varlamis

Iraklis Varlamis is Assistant Professor of Data Management at the Department of Informatics and Telematics at the Harokopio University of Athens. His research interests span data-mining and knowledge extraction from social media, to intelligent systems and machine learning with application in recommender systems and personalization. He has co-authored three books and more than 100 papers concerning graph and text mining, data analytics, intelligent systems and personalization.

Affiliations and Expertise

Assistant Professor of Data Management, Department of Informatics and Telematics, Harokopio University of Athens

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