Publications
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CERI 2020: Civil Engineering Research in Ireland Conference
Focusing on a growing technical cooperation between NRA’s, service providers and Original Equipment Manufacturers (OEMs), this paper provides an overview of the activities undertaken in DIRZON to support NRA’s in identifying how these developments will affect their operations and their interaction with other actors. This is achieved by providing a concept for a technical data-exchange platform with corresponding business models archetypes for its exploitation through the use of three use cases particularly affected by Digitalisation and Connected Automated Driving. The actors relevant to each use case are identified as well as their current and future roles/ relationships between them in the short, medium, and long term. Ultimately, the DIRIZON project provides a practical roadmap for step-by-step development and transition of road operation to digitisation. Equally, a set of business models for co-financing and operation of a suitable platform for data sharing between public and private sectors and a suitable standard for a platform at the EU-level are proposed
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TRA2020: ‘Rethinking transport – Towards clean and inclusive mobility’
The digitalisation of road networks and the rapid developments in automated driving will affect the core activities that National Road Authorities (NRAs) carry out, offer new business opportunities and provide NRAs with new and more efficient ways to achieve goals for road safety, traffic efficiency, the environment and customer service. Ultimately NRAs will digitise their road networks, opening up new opportunities which will in turn change the way NRAs interact with existing but also new stakeholders. Based on three use cases, the paper develops a future view of the process flow in each use case, and identifies a first draft of the data requirements and data quality criteria in providing the use cases.. The use cases are provision of High-Definition maps for automated mobility, distribution of digital traffic regulations, and infrastructure support for cooperative automated driving. The results presented are in draft version, subject to change before finalization.