PolyU scholars received 5 approved projects out of the total 14 projects from the Smart Traffic Fund since its commencement in 2020-21. The University ranked first in the number of projects which encompass the development of innovative solutions: deep learning, AI, 3D Geo-spatial model, data-driven intelligence and technologies to enhance efficiency on road network and space, public convenience and road safety in the city.
The funding would reinforce the University’s strength in traffic related research in the following aspects.
- Prediction of Traffic Speed and Volume considering Malfunctioning Detectors using Deep Learning
By Professor Edward CHUNG, Department of Electrical Engineering
- Development and Deployment of an AI-enabled Parking Vacancy Prediction Framework using Multi-source Data
By Dr. MA Wei, Department of Civil and Environmental Engineering
- Road Safety Assessment using Advanced Driving Simulation Approach with 3D Geo-spatial Model
By Dr. SZE Nang Ngai, Department of Civil and Environmental Engineering
- Network-wide Traffic Speed-Flow Estimator
By Ir Prof. William LAM Hing-keung, Department of Civil and Environmental Engineering
- Investigation of an Online Data-driven Intelligent Automation Platform for Drivers Considering the Psychological Condition Instability and Behaviours for a Sustainable and Safe Transportation System
By Dr. NG Kam Hung, Assistant Professor, Department of Aeronautical and Aviation Engineering
The Smart Traffic Fund is a funding initiated by the Transport Department to support local organisations or enterprises for conducting research and application of innovation and technology with the objectives of enhancing commuting convenience, enhancing efficiency of the road network or road space, and improving driving safety. HK$1 billion have been earmarked for the Fund which commences operation in 2020-21, with an aim to support I&T projects for promoting smart mobility in Hong Kong.
