Two projects led by PolyU researchers awarded Smart Traffic Fund with a total amount of HK$6.9 million. These projects which embrace innovative ideas and technology advancement are designed to develop practical solutions for building a sustainable and smart city.
- Network-wide Traffic Speed-Flow Estimator
Led by Ir Prof. William LAM Hing-keung, Chair Professor of Civil and Transportation Engineering, Department of Civil and Environmental Engineering.
The project proposes a model-based data-driven approach to develop a network-wide traffic speed-flow estimator for estimating traffic speeds and traffic flows simultaneously.
- 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
Led by Dr. Kam Hung NG, Assistant Professor, Department of Aeronautical and Aviation Engineering.
The project aims to develop an online data-driven risk-taking behavioural prediction mechanism by identifying the driver’s psychological condition instability using intelligent automation techniques.
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.
