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: IntroductionChapter 1: ICT-based cooperative ITS: towards automated road transport Part II: General aspects of connected, cooperative and automated road transportChapter 2: Deployment of C-ITS: a review of global initiativesChapter 3: Architecture of cooperative intelligent transport systemsChapter 4: Business-model innovation in the smart mobility domainChapter 5: Driving automation and its effects on drivers - a human factor perspectiveChapter 6: Legal frameworks and strategies of regulatory authorities Part III: V2X communication for cooperative and automated drivingChapter 7: Vehicular communication - a technical reviewChapter 8: Connectivity for automated driving - an overview on corresponding R&D activities in EuropeChapter 9: Standardisation and V2X implementationChapter 10: Assessment of C-ITS network performance scalability and transferabilityChapter 11: 5G for road safety services Part IV: ICT infrastructure for automated driving and future traffic managementChapter 12: Cooperative system integrationChapter 13: ICT infrastructure for automated drivingChapter 14: Road infrastructure taxonomy for connected and automated drivingChapter 15: Infrastructure-assisted automated driving in transition areasChapter 16: Connected and automated road transport from the perspective of cities Part V: Automated driving: market, impacts, roadmap, data quality and driver aspectsChapter 17: The evolution towards automated driving - Insights from market penetration surveys in GermanyChapter 18: Impact assessment of cooperative and automated vehiclesChapter 19: Deployment of highly automated driving up to 2040 - case FinlandChapter 20: A practical approach for defining and assessing data quality in automated drivingChapter 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 EuropeChapter 22: Recent advances in cooperative and automated driving in Japan and how we approach these technologiesChapter 23: Promoting connected and automated vehicles with cooperative sensing and control technologyChapter 24: Connected and automated vehicle research and development in the United StatesChapter 25: Mobility-on-demand using autonomous vehicles: systems, solutions and challenges Part VII: Discussion and conclusionsChapter 26: Cooperative and automated road transport: ambitions, challenges and key findings