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The Future of Intelligent Transport Systems

Langue : Anglais

Auteurs :

Couverture de l’ouvrage The Future of Intelligent Transport Systems

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.

PART ONE: ITS Technology enablers1. Sensing and perception systems for ITS2. Communication advances and ITS3. Computing technologies: platforms, processors and controllers

PART 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 ITS

PART 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 ITS

PART FOUR: ITS regulations, policies and standards13. ITS and sustainability14. ITS standardization bodies and standards15. ITS programs and strategies worldwide

PART 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

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

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.
Lorna Uden is Professor Emeritus in the Department of Computing at Staffordshire University in UK. 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. She has been invited as keynote speaker at many international conferences and visiting professor at many universities internationally. She is the conference chair for both KMO and LTEC. She also travels widely to give workshop on Problem Based Learning.
Iraklis Varlamis is Associate 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 130 papers concerning graph and text mining, data analytics, intelligent systems and personalization and has more than 2000 citations on his work. He holds a patent from the Greek Patent Office and an application pending from the US patent office. He is been involved on several EU funded projects concerning intelligent systems, machine learning, and data mining on the industrial and au
  • 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

Date de parution :

Ouvrage de 272 p.

15x22.8 cm

Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).

122,46 €

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Thème de The Future of Intelligent Transport Systems :

Mots-clés :

5G CCAM; activity; artificial intelligence; automated driving; Automatic Emergency Braking; automotive industry partnerships; automotive safety integrity; Autonomous Driving levels; autonomous vehicles; Autopilot; behavior; big data analytics; big data processing; blockchain; business model; canvas; CCAM; cocreation of value; collaboration; Collaborative ITS; communication; contextual; data collection; data fusion; data mining; Decentralized Applications; distributed processing; driver; dynamics; economic growth; economic pillar; ecosystem; Electric vehicles; electric vehicles; elicitation; employment; environmental pillar; ethereum; future of ITS; gamification; GDP; generation; growth; highly automated vehicles; highways; in-vehicle technology enablers; inflation; ISO; ITS; ITS exploitation; ITS market potential; ITS marketing; ITS programs; ITS strategic plan; ITS strategies; machine learning; marketing strategy; mental model; mobility; national ITS programs; network on chip; operations; organizations; persona; RADAR; remote sensing; requirements engineering; revenue model; road infrastructure; road users; smart contracts; smart contracts for ITS; social; social aspects of ITS; social pillar; societal impact; Socio and techno-economic aspects; speed data; stakeholders; standard; sustainability; sustainable transportation; Sustainable Urban Mobility Plans; technology trends; theory; traffic; traffic speed; transport; transportation; transportation applications; transportation networks; travel; urban environment; urbanization; user experience (UX); user experience design (UXD); V2I; V2V; V2X communications; vehicle