Cooperative Intelligent Transport Systems

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.

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