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  • D2.1 identifies NRA’s current Level of Digitalisation and Automated Driving, identifies their future plans in these areas and identifies how these developments will affect their operations and their interaction with other actors. To this end, a three-stage methodology is presented which involved undertaking a comprehensive literature review, conducting interviews with representatives from NRA’s, Ministries’ and Road Operators both from CEDR funding countries and Non-CEDR funding countries and selecting Use Cases for further evaluation and elaboration in subsequent work streams.

  • D3.1  extends the use cases selected in this project, as presented in Deliverable D2.1 by developing a future view of the process flow in each use case, and identifying a first draft of the data requirements and data quality criteria in providing the use cases. This project takes a bird’s-eye view of data, looking at the whole eco-system where other actors can provide data, thus, beyond the data that can be supplied by Road Operators. This involves exploring the use cases of the future in which vehicles of different levels of driving automation use the road, and the activities of the process flow. Equally Data categories are identified for each use case and  the use cases and data quality criteria are proposed for connected and cooperative automated vehicles.

  • D4.1  Collects the views of ”other” stakeholders and NRAs on data needs, data exchange (incl. prerequisites), roles and responsibilities, security, data protection, privacy and governance issues in respect of the Use Cases selected form previous work streams and aims to challenge the views of NRAs with the results of other stakeholder groups.

  • D5.1 focused on the development of data exchange options for Use Case 3 “Infrastructure Support for Automated Driving” as the most complex use case. Innovative projects and initiatives related to the topic of data exchange were examined and recommendations and conclusions provided for a future strategy in respect of data exchange. To this end, current data exchange concepts and their characteristics focused on National Access Points, C-ITS, Data Task Force and International Data Spaces (IDS). The investigations start with the thesis that any type of future connected automated driving scenario will generate a need for substantial improvements in data exchange between road authority backend systems, service provider backends and OEM backends (cloud-to-cloud services). Appropriate services would pave the way for providing data services directly into vehicles, mobile devices or aftermarket devices used inside vehicles and, vice versa, providing sensor-data back to the connected backends. Ultimately, the IDS concept is described which offers a vast potential in accessing data sources and integrating them into the emerging intelligent network via standardised connectors while maintaining data sovereignty.

  • D6.1 focuses on providing “business model options” for an NRA driven data exchange platform in the context of future CAD deployment in Europe. The current European position in the data and platforms landscape is examined a future scenario, termed ‘’CAD-fleet-as-service’’  is devised and reflects a situation in which CAD-fleets and corresponding public and private data services are flourishing

  • D7.1 presents a roadmap for a Step by step transition towards a full digitalisation of the road network to support NRAs in preparing their own strategies in regards to Connected Automated Driving (CAD) within which the key activities required to achieve this goal are provided. In order to represent the path from a complex heterogeneous landscape to an EU-interoperable system, the visualised roadmap summarises the main steps and actions required. Although all steps are quite closely linked, the actions are categorised into three specific fields of action: Data, Physical and Digital Infrastructure as well as Legal and Institutional Frameworks

  • D8.1 Flyer No 1:  DIRIZON Overview

  • D8.1 Flyer No 2: DIRIZON Outcomes & Recommendations

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