The Future of Intelligent Transport Systems

著者名：Dimitrakopoulos, George J./Uden, Lorna/Varlamis PhD, Iraklis

Elsevier（2020/02/19発売）

• 言語：ENG
• ISBN：9780128182819
• eISBN：9780128182826

Description

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

Table of Contents

PART ONE: ITS Technology enablers1. Sensing and perception systems for ITS2. Communication advances and ITS3. Computing technologies: platforms, processors and controllersPART TWO: ITS users4. User requirements and preferences for ITS5. Co-creation of value for user experiences6. ITS and their users: classification and behavior7. User acceptance and ethics of ITSPART THREE: ITS business models8. ITS and economic growth9. Impact of ITS advances on the industry10. ITS business and revenue models11. ITS and marketing12. Societal impact of ITSPART FOUR: ITS regulations, policies and standards13. ITS and sustainability14. ITS standardization bodies and standards15. ITS programs and strategies worldwidePART FIVE: The future of ITS applications16. Transportation network applications17. Autonomous Driving levels and enablers18. Intelligent Transport Systems and Smart Mobility19. Big Data Analytics for Intelligent Transportation Systems20. Personalized Mobility Services and AI21. Integrated mobility for smart cities22. ITS and blockchain23. Conclusions and way forward