PolyU has long been committed to driving smart cities and smart mobility through advanced technologies, with two pioneering projects secured a total funding of approximately HK$17.36 million from the Smart Traffic Fund. These projects aim to enhance the health monitoring of long-span bridges and optimise urban parking management.
Details of the two projects are as follows:
Digital Twin-based Long-span Bridge Health Monitoring | Principal investigator: | Ir Professor Xia Yong
Professor, Department of Civil and Environmental Engineering | Approved funding: | Around HK$13.4 million for a duration of 24 months | Project summary: | The project aims to develop a digital twin-based long-span bridge health monitoring platform. The Tsing Ma Bridge will serve as the testbed for this project, with a focus on the development of an automatic traffic monitoring system, a bridge fatigue damage assessment and prediction system, a vehiclebarrier collision monitoring system and a vehicle safety assessment system in high winds. By integrating sensors on the bridges, cutting-edge artificial intelligence (AI) techniques, finite element analysis and Bridge Information Modelling, the project seeks to enhance the efficiency of the road network and road space, as well as improve driving safety. |
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Blockchain-enabled Cyber Physical System for City-wide Parking Management | Principal investigator: | Dr Tsang Yung-po
Research Assistant Professor, Department of Industrial and Systems Engineering | Approved funding: | Around HK$3.95 million for a duration of 24 months | Project summary: | The project utilises Web 3.0 and blockchain technology to establish decentralised identity for drivers, enabling intelligent access control to car parks. Additionally, an AI-powered spatiotemporal clustering analysis system will be developed to evaluate the supply of and demand for parking spaces. |
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