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

George Dimitrakopoulos is Assistant Professor at the Department of Informatics and Telematics of Harokopio University of Athens. His research interests include optimization and performance evaluation of wireless systems, applications of wireless networks, intelligent transport systems, autonomous driving and smart radio systems. He has authored more than 150 articles and is involved in research and development projects in transportation and urban mobility.

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

PART ONE: ITS Technology enablers 1. Sensing and perception systems for ITS 2. Communication advances and ITS 3. Computing technologies: platforms, processors and controllers

PART TWO: ITS users 4. User requirements and preferences for ITS 5. Co-creation of value for user experiences 6. ITS and their users: classification and behavior 7. User acceptance and ethics of ITS

PART THREE: ITS business models 8. ITS and economic growth 9. Impact of ITS advances on the industry 10. ITS business and revenue models 11. ITS and marketing 12. Societal impact of ITS

PART FOUR: ITS regulations, policies and standards 13. ITS and sustainability 14. ITS standardization bodies and standards 15. ITS programs and strategies worldwide

PART FIVE: The future of ITS applications 16. Transportation network applications 17. Autonomous Driving levels and enablers 18. Intelligent Transport Systems and Smart Mobility 19. Big Data Analytics for Intelligent Transportation Systems 20. Personalized Mobility Services and AI 21. Integrated mobility for smart cities 22. ITS and blockchain 23. Conclusions and way forward