Data science and digital technologies for intelligent carbon management in the whole life of highway assets

Comprehensive carbon data ontology, trustworthy carbon data model, intelligent carbon management system framework, integrated carbon digital twin

Data science and digital technologies for intelligent carbon management in the whole life of highway assets

Abstract

This project develops a standardised data model that can be employed for consistent carbon calculation, assessment, and optimisation by future road developers. A mixed research method with interviews, organisational archival analysis, and ontology modelling is used. Four research objectives are outlined: (1) to review existing carbon management theories and practices, attainable advanced technologies for carbon sensing and monitoring, data analysing, sharing, and visualisation; (2) to develop a standardised data model for carbon management; (3) to develop a set of interoperable protocols for data collection, storage, analysis, sharing, and visualisation; and (4) to prepare the data model in a way that is adaptable to the foreseeable adoption of new technologies in the next five years. A carbon data trustworthy framework and an intelligent carbon data management system architecture are developed.

Team

  • Dr. Jinying Xu

Grant & Funding

EU MSCA Future Roads, University of Cambridge (Closing, 2022-2025)