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El. knyga: Cooperative Intelligent Transport Systems: Towards high-level automated driving

Edited by (Dynniq, Netherlands)
  • Formatas: EPUB+DRM
  • Serija: Transportation
  • Išleidimo metai: 24-Oct-2019
  • Leidėjas: Institution of Engineering and Technology
  • Kalba: eng
  • ISBN-13: 9781839530135
  • Formatas: EPUB+DRM
  • Serija: Transportation
  • Išleidimo metai: 24-Oct-2019
  • Leidėjas: Institution of Engineering and Technology
  • Kalba: eng
  • ISBN-13: 9781839530135

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The book provides a comprehensive insight in the state of the art of C-ITS and automated driving, especially addresses the role of ICT (Information and Communication Technologies) infrastructure, and presents the main achievements (both theory and practice), as well as the challenges in the domain in Europe, the US and Asia/Pacific.



Intelligent Transport Systems (ITS) have been a domain of substantial development for more than thirty years, enhancing safety, (energy and fuel) efficiency, comfort, and economic growth. Cooperative Intelligent Transport Systems (C-ITS), also referred to as Connected Vehicles, are a prelude to, and pave the way towards road transport automation. Vehicle connectivity and information exchange will be an important asset for future highly-automated driving. The book provides a comprehensive insight in the state of the art of C-ITS and automated driving, especially addresses the important role of ICT (Information and Communication Technologies) infrastructure, and presents the main achievements (both theory and practice), as well as the challenges in the domain in Europe, the US and Asia/Pacific.

Part I: Introduction

Chapter 1: ICT-based cooperative ITS: towards automated road transport



Part II: General aspects of connected, cooperative and automated road
transport

Chapter 2: Deployment of C-ITS: a review of global initiatives
Chapter 3: Architecture of cooperative intelligent transport systems
Chapter 4: Business-model innovation in the smart mobility domain
Chapter 5: Driving automation and its effects on drivers - a human factor
perspective
Chapter 6: Legal frameworks and strategies of regulatory authorities



Part III: V2X communication for cooperative and automated driving

Chapter 7: Vehicular communication - a technical review
Chapter 8: Connectivity for automated driving - an overview on corresponding
R&D activities in Europe
Chapter 9: Standardisation and V2X implementation
Chapter 10: Assessment of C-ITS network performance scalability and
transferability
Chapter 11: 5G for road safety services



Part IV: ICT infrastructure for automated driving and future traffic
management

Chapter 12: Cooperative system integration
Chapter 13: ICT infrastructure for automated driving
Chapter 14: Road infrastructure taxonomy for connected and automated driving
Chapter 15: Infrastructure-assisted automated driving in transition areas
Chapter 16: Connected and automated road transport from the perspective of
cities



Part V: Automated driving: market, impacts, roadmap, data quality and driver
aspects

Chapter 17: The evolution towards automated driving - Insights from market
penetration surveys in Germany
Chapter 18: Impact assessment of cooperative and automated vehicles
Chapter 19: Deployment of highly automated driving up to 2040 - case Finland
Chapter 20: A practical approach for defining and assessing data quality in
automated driving
Chapter 21: Dynamic Bayesian networks for driver-intention recognition based
on the traffic situation



Part VI: R&D and applications of connected, cooperative and automated driving
outside Europe

Chapter 22: Recent advances in cooperative and automated driving in Japan and
how we approach these technologies
Chapter 23: Promoting connected and automated vehicles with cooperative
sensing and control technology
Chapter 24: Connected and automated vehicle research and development in the
United States
Chapter 25: Mobility-on-demand using autonomous vehicles: systems, solutions
and challenges



Part VII: Discussion and conclusions

Chapter 26: Cooperative and automated road transport: ambitions, challenges
and key findings
Dr. Meng Lu is Strategic Innovation Manager at Dynniq, NL. She has previously served as Program Manager International at Dutch Institute for Advanced Logistics, Visiting Professor at the National Laboratory for Automotive Safety and Energy, Tsinghua University, and Coordinator and Work Package Leader for EU-funded projects. Her positions and board memberships include: VP IEEE ITSS; Steering Committee Member, IEEE Future Networks - Enabling 5G and Beyond; VP IBEC (ITS Benefits Evaluation Community); and Editorial Board Member of IET ITS.