The Transport Department announced that the Management Committee on Smart Traffic Fund approved the fifth batch of four projects, of which two projects led by researchers from The Hong Kong Polytechnic University (PolyU) were awarded a total amount of HK$2.66 million.
- Channel State Information-Learning-based Passenger Counting System on Public Transport Vehicles
By Dr Ivan HO, Associate Professor of the Department of Electronic and Information Engineering
This project aims to develop an efficient and robust passenger counting system via the deep learning of Channel State Information (CSI) data on public transport vehicles. - Development of an Augmented Reality-Assisted Head-up Display (AR-HUD) mechanism for recommending driving strategy
By Dr ZHENG Pai, Assistant Professor of the Department of Industrial and Systems Engineering
This project aims to develop an augmented reality-assisted head-up display (AR-HUD) mechanism for driving strategy recommendation by recognising driving scenes using a visual reasoning-based approach.
The Smart Traffic Fund has approved 21 projects since its commencement, 9 of which were from PolyU.
| Project Title | Principal Investigator |
| Channel State Information-Learning-based Passenger Counting System on Public Transport Vehicles | Dr Ivan HO, Associate Professor, Department of Electronic and Information Engineering |
| Development of an Augmented Reality-Assisted Head-up Display (AR-HUD) mechanism for recommending driving strategy |
Dr ZHENG Pai, Assistant Professor, Department of Industrial and Systems Engineering |
| Smart Assessment of Bridge Deck Efficiency and Safety in Hong Kong |
Prof Tarek ZAYED, Associate Head (Research), Department of Building and Real Estate |
| The smart charging development of zero-emission autonomous electric vehicles by the X2V and V2X technologies with respect to the dynamic traffic, grid and energy information |
Dr CAO Sunliang, Department of Building Environment and Energy Engineering |
| Prediction of Traffic Speed and Volume considering Malfunctioning Detectors using Deep Learning |
Prof. Edward CHUNG, Department of Electrical Engineering |
| Development and Deployment of an AI-enabled Parking Vacancy Prediction Framework using Multi-source Data |
Dr MA Wei, Department of Civil and Environmental Engineering |
| Road Safety Assessment using Advanced Driving Simulation Approach with 3D Geo-spatial Model |
Dr SZE Nang Ngai, Department of Civil and Environmental Engineering |
| Network-wide Traffic Speed-Flow Estimator |
Ir Prof William Lam Hing-keung |
| 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 | Dr Ng Kam-hung, Department of Aeronautical and Aviation Engineering |
