Advanced technology in artificial intelligence (AI) plays a vital role in managing transportation. The Hong Kong Polytechnic University (PolyU) is dedicated to harnessing its interdisciplinary research capabilities to drive the advancement of smart mobility. A PolyU project aimed at enhancing parking garage vacancy prediction services has received support by the Smart Traffic Fund.
Led by Prof. MA Wei, Assistant Professor of the Department of Civil and Environmental Engineering of PolyU, the project titled “Parking Garage Vacancy Prediction Services in Hong Kong: AI-enabled Solutions for Enhanced Reliability and Extensibility” has been granted approximately $2.9 million from the Smart Traffic Fund for a period of 18 months.
This project aims to develop a deep learning-based parking garage vacation prediction service for off street carparks in Hong Kong. By leveraging AI technology and combining big data with real time data, the service will predict parking vacancy and estimate queuing times for fully occupied garages, helping to reduce motorists’ cruising time and enhance road efficiency.
PolyU has long been committed to the research and application of vehicle-related innovation and technology, with a total of 22 projects supported by the Smart Traffic Fund to date.
The Smart Traffic Fund provides funding support to local organisations and enterprises for conducting research and applying innovation and technology to enhance commuting convenience, enhance the efficiency of the road network or road space, and improve driving safety.
