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ME received accolade at 4th Asia Exhibition of Innovations and Inventions Hong Kong

6 Dec 2024

Department and Staff News

Impactful innovations from The Hong Kong Polytechnic University (PolyU) won a total of 18 accolades at the 4th Asia Exhibition of Innovations and Inventions Hong Kong (AEII), a widely recognised annual event devoted exclusively to invention. Organised by The Hong Kong Exporters’ Association in partnership with Palexpo, the organiser of the International Exhibition of Inventions Geneva, AEII is a prestigious annual exhibition and competition dedicated to innovations and inventions in Asia.

The Department is pleased that Dr Randolph Leung, Associate Professor in the Department of Mechanical Engineering, and Dr Dongfang Li, a PhD graduate from the Department, have been awarded a Silver Medal for their innovative work. This achievement underscores the commitment of the ME community—faculty and alumni alike—to embracing research breakthroughs.

AEII2024_Banner_15_Traffic_Noise_1030x429_v1

Real-time traffic noise identity extraction

Principal Investigator:
Dr LEUNG Chi Kin Randolph, Associate Professor, Department of Mechanical Engineering 


Road traffic noise has garnered significant attention in modern urban environments, such as Hong Kong, for its extensive adverse effects on health, society, and the economy. With the increasing adoption of electric vehicles (EVs), tyre/road noise has become the principal source of traffic noise pollution. A groundbreaking technology has been developed to improve the quantification capabilities of the widely employed Close Proximity (CPX) method for measuring tyre/road noise on urban roads. This innovation facilitates real-time measurement of the sound power level of tyre/road noise, providing a definitive metric for noise sources that are less affected by the varying measurement conditions typical of urban settings like Hong Kong.

This technology stands out globally for its exceptional robustness, accuracy, and repeatability in real-time assessments. The results obtained from this technology furnish an absolute noise metric that aids in the predicting and managing urban traffic noise nuisance, which is increasingly influenced by the popularity of electric vehicles.


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