Smart Traffic Fund Supports Two PolyU Projects
The Hong Kong Polytechnic University (PolyU) has received support for two innovative projects on improving driving safety by the Smart Traffic Fund. The two projects aim to improve driving performance and safety through the use of an intelligent simulation platform and extended reality to facilitate drivers’ training and skills enhancement.
Details of the two awarded projects are below:
Intelligent Driving Training and Evaluation System for Container Trucks
Led by Prof. Xiaowen FU, Associate Dean (External Engagement) of the Faculty of Engineering and Professor of Engineering Management in the Department of Industrial and Systems Engineering at PolyU, this project aims to develop a simulation system using extended reality technology. The proposed system is also designed to provide training to trainee drivers of container trucks, which is comparable to the actual driving environment, together with an evidence-based driver performance evaluation system to facilitate the design of individualised training.
Driving Style-based Adaptive Virtual Training Platform: Build Safe Human Driving Habits in Autonomous Driving
Led by Dr Fan LI of the Department of Aeronautical and Aviation Engineering at PolyU, this project aims to develop a virtual reality-based training platform. It is designed to improve driving habits in level 2 and level 3 autonomous driving, i.e. human-machine co-driving, with customised training for drivers with different driving styles.
Prof. Christopher CHAO, Vice President (Research and Innovation) of PolyU, said, “We are striving to accelerate research for building a sustainable living environment. PolyU’s innovative research in traffic and transportation, which integrates interdisciplinary knowledge and cutting-edge technology for impactful applications, promotes smart mobility in Hong Kong to improve the community’s quality of life.”
PolyU has long been committed to the research and application of vehicle-related innovation and technology, with a total of 11 projects currently receiving grants from the Smart Traffic Fund.