The Hong Kong Polytechnic University (PolyU) is dedicated to developing advanced technologies for safe and smart mobility. Leveraging its proven research capabilities, PolyU has secured funding for three out of four projects in the 15th batch of Smart Traffic Fund, with total funding awarded to the University of approximately HK$14 million.
Prof. Christopher CHAO, Vice President (Research and Innovation) of PolyU said, "The collective support for 21 PolyU projects out of a total of 59 projects funded from the Smart Traffic Fund since the launch of this scheme underscores PolyU's legacy of excellence in smart traffic technology. These funds drive us to advance further in enhancing quality of life and shaping the future through the development of intelligent transportation systems. Drawing upon our diverse academic and research capabilities, PolyU will continue to lead the way in advancing and transforming smart mobility."
A study on public transport re-routing, with a healthy 'Wait-to-Ride' trip mode for optimizing public transportation routes and improving traffic congestion, is led by Prof. Charles Man Sing WONG, Associate Dean of the Faculty of Construction and Environment, Professor of the Department of Land Surveying and Geo-Informatics. The study will develop a spatial-temporal environment database to alleviate traffic congestion and enhance road network efficiency. This database will inform suggestions for re-routing public transport in over-served areas with duplicated services.
Safety is a crucial aspect of smart mobility. Dr Kam-hung NG, Assistant Professor of the Department of Aeronautical and Aviation Engineering, leads another of the funded projects, "Development of human-centric driver support systems and training recommendations for safer cross-border driving during Northbound travel for Hong Kong vehicles". By analysing potential human errors through the collection of various neuropsychological data, a cross-border driving simulation and training program will be developed.
Dr Yiping JIANG, Assistant Professor of the same Department, led the project "A study of integrating adaptive safety requirements into localisation for autonomous driving in Hong Kong". It aims to develop a configurable platform using machine learning algorithms, which will allow autonomous driving systems to adapt to safety requirements across different traffic scenarios.
The Smart Traffic Fund provides funding support to local organisations and enterprises for conducting research and applying innovation and technology with the objectives of enhancing commuting convenience, enhancing efficiency of the road network or road space, and improving driving safety.
Details of the three funded projects:
| Principal Investigator |
Project Title |
Project Summary |
Project Duration |
Approved Funding |
| Prof. Charles Man Sing WONG, Associate Dean of the Faculty of Construction and Environment, Professor of the Department of Land Surveying and Geo-Informatics |
A study on public transport re-routing with a healthy 'Wait-to-Ride' trip mode for optimizing public transportation routes and improving traffic congestion |
The project aims to conduct research on analysing the routes and stops of road public transportation. A spatio-temporal environmental database will be developed for providing suggestions on reorganising of public transport routing in over-served areas with duplicated routes, with the aim of easing road traffic congestion and enhancing the efficiency of the road network. |
24 months |
HK$ 5,384.708.25 |
| Dr Kam-hung NG, Assistant Professor of the Department of Aeronautical and Aviation Engineering |
Development of human-centric driver support systems and training recommendations for safer cross-border driving during Northbound travel for Hong Kong vehicles |
The project aims to develop a cross-border driving simulation and training program by analysing potential human errors through collecting various neuropsychological data, with the goal of enhancing safety of cross-border driving. |
21 months |
HK$ 6,932,836.44 |
| Dr Yiping JIANG, Assistant Professor of the Department of Aeronautical and Aviation Engineering |
A study of integrating adaptive safety requirements into localisation for autonomous driving in Hong Kong |
The project aims to develop a configurable platform with machine learning algorithms that enable autonomous driving systems to adhere to adaptive safety requirements under various traffic scenarios and turning radiuses of vehicles to enhance the safe performance of autonomous vehicles. |
24 months |
HK$ 1,683,890.95 |
