Name: Dr Junxiang Zhu
Academic Division: Civil Engineering
Research Group: Digital Roads of the Future
Fellowship period: 3 January 2024 – 02 January 2027
Email: jz652@cam.ac.uk
https://orcid.org/0000-0002-9828-5168
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Strategic Themes Digital Twin |
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Research Project Title: A graph-based approach for road digital twins Theme: Digital Twin Abstract: The major problem to be addressed in the project is how to design road digital twins. This problem will be addressed by achieving the following four objectives: (1) Objective 1: Identifying the specific information requirements for road digital twin (2) objective-2: Developing a graph-based reference data library for road assets; (3) objective-3: Developing an extensible, future-proof, and scalable road integration cloud architecture; and (4) objective-4: Validating the proposed approach for road digital twinning. These objectives are identified and scheduled logically, and, to achieve these objectives, the standard procedure specified in an international standard, ISO19650 organization and digitalization of information about buildings and civil engineering works, will be referenced. To be specific, the following methods will be used: (1) Objective 1: Relevant literature will be reviewed and interviews/questionnaires with stakeholders, such as Jacobs and National Highways, will be conducted to learn the specific information requirements for future road management and define the road Foundation Data Model. (2) Objective-2: Graph-based technologies, such as Resource Description Framework (RDF) and labelled property graph (LPG), will be compared to select the proper graph technology for implementing the graph reference data library that is developed based on information requirements identified in Objective-1. (3) Objective 3: An extensible, future-proof, and scalable road integration cloud architecture will be developed by working with stakeholders, taking data fusion and data interoperability into consideration. (4) Objective 4: Real project data will be used to validate the effectiveness of the proposed approach for road digital twinning. Alignment with SDG:
Project TRL: the starting TRL (technology readiness level) of graph-centric DT is ‘1 Basic Principles Observed’, and the expected end TRL is ‘5 Technology Validated In Relevant Environment’. Industry secondment needs: I need to do an industry secondment to learn the real practice of road maintenance, in order to create a data model for the road section, which can be used with property graph. Datasets: This project has received two 3D road models in IFC4.3 from Trimble. The initial test shows that IFC road models mainly contains geometric information (> 98%), while the semantic information is less than 2%, which shows the need to enrich the semantics of road data models.
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