CoDEC is a project funded by the CEDR (Conference of European Directors of Roads) Transnational Research Programme Call 2018 aiming to understand, in a very practical way, the key means for successful implementation of Building Information Modelling (BIM) principles within the European highways industry, in particular with regards to freeing and enriching data flow to and from Asset Management Systems (AMS).
The project started on 1st October 2019 (duration 24 months).
The project’s overarching objectives:
- Understand the current status of information management across the highways industry in Europe, and the risks and opportunities for the coming years.
- Derive best practice guidance in the use of sensor/scanning technology to drive Asset Management (AM), by investigating real examples of application to assets.
- Demonstrate and develop practical methods for implementation of CEDR objectives for BIM, by undertaking applied projects in real use cases and consolidating outcomes.
- Provide recommendations for aligning the software industry with CEDR objectives for BIM by understanding the risks and opportunities involved in the market.
CoDEC will undertake three Pilot Projects, with the aim of researching and developing real, practical methods, tools and processes for implementing BIM principles in the European Highways industry. These projects will build on existing efforts in this area, such as the European Road OTL, and of course the Master Data Dictionary to be created by CoDEC. Outcomes of these pilot projects will be disseminated to CEDR members for trialling and implementation.
- PILOT project 1 - building a digital twin of an existing highways asset using design/construction data and 3D scanning technologies, and linking to an AMS.
- PILOT project 2 – taking remote sensor data feeds from various highways assets and using these to enrich legacy data in existing systems.
- PILOT project 3 – associating asset data from multiple sources to a 3D BIM model of an urban area with many highways assets using automated “smart” methods.