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Two PAIR members receive support from Smart Traffic Fund, enhancing driving safety and transportation efficiency

20 Feb 2026

Awards & Recognitions

Two projects led by PAIR members have received funding of HK$14 million.  With a focus on intelligent driving systems and bus emergency braking solutions respectively, these projects aim to enhance transportation efficiency and driving safety. 

Led by Prof. WEN Weisong, Member of Research Institute for Advanced Manufacturing (RIAM), Research Institute for Land and Space (RILS), Otto Poon Charitable Foundation Smart Cities Research Institute (SCRI), Research Centre for Deep Space Explorations (RCDSE), Research Centre for Digital Transformation of Tourism (RCDTT), and Research Centre for Resources Engineering towards Carbon Neutrality (RCRE), and Assistant Professor of the Department of Aeronautical and Aviation Engineering, the project “Application of End-to-End Intelligent Driving System in Logistics Industry” secured funding of approximately HK$7.06 million for 24 months.  This project aims to develop an end-to-end intelligent driving system for the logistics industry, incorporating a unified artificial intelligence framework for spatial localisation through multi-modal sensor fusion, a Bird’s Eye View perception system for 360-degree environmental understanding, and sim-to-real training and validation based on the Hong Kong landscape.  By providing this integrated solution, the system supports the future development of intelligent driving technology in Hong Kong.

Led by Prof. SZE Nang Ngai, Member of SCRI, Research Institute for Sustainable Urban Development (RISUD) and RCDTT, and Associate Professor of the Department of Civil and Environmental Engineering, the project “Bus Automatic Emergency Braking System Designed for Hong Kong Road and Traffic Conditions” secured funding of approximately HK$7.04 million for 24 months.  This project aims to design an Automatic Emergency Braking System (AEBS) for buses tailored to road and traffic conditions in Hong Kong.  It will analyse traffic accident records and real-time bus trajectory data collected during shadow tests to evaluate AEBS performance and its effectiveness in reducing collisions while ensuring passenger safety.  The research deliverables include providing empirical evidence for bus operators to formulate AEBS deployment strategies in Hong Kong and the enhancement of overall bus safety.

Press release: https://polyu.me/4aJqgZ1

 

Online coverage:

Mirage - https://polyu.me/4734LkD

Wen Wei Po - https://polyu.me/46NJI5u

Dot Dot News - https://polyu.me/4kLzuZ2


Research Units PolyU Academy for Interdisciplinary Research

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