RESEARCH PROJECTS
Investigation of an online data-driven intelligent automation platform for drivers considering the psychological condition instability and behaviours for a sustainable and safe transportation system
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Driving is a complex behaviour that involves real-time human's intervention. As part of the surrounding envirorunent, the driver's behaviour would directly affect road safety. Nonetheless, the psychophysiological state of the driver is influenced by the everchanging road traffic situation and potential driving fatigue. With the persistent growth of the number of vehicles in Hong Kong, the complexity of the road traffic situations is likely to rise accordingly. Inevitably, the psychophysiological condition of the drivers is a key factor in assuring road safety. Therefore, the major challenges on future driving safety will be the accuracy and the timeliness of driver's decisionmaking with the heightened complexity in future road traffic conditions, and it is yet to be resolved.
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Dr. Kam K.H. NG
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HKD $ 5.544M
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1 SEP 2022 - 31 AUG 2024
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Smart Traffic Fund
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Transport Department, HK Government, HKSAR and Hong Kong Productivity Council
Live, historical, and pseudo weather enhancement module cum high fidelity flight emergency operational advisory aids for the existing A320 flight simulator
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AAE always strive for the best teaching and learning experience to maximise students’ learning effectiveness. However, several feedbacks have been received from students during the tutorial sessions that the existing simulator can only simulate normal flight operations instead of simulating different potential scenarios such as extreme weather and emergency situations. Besides, the current spatial orientation of the visual component might not be fully effective in delivering satisfactory visual experience, which constrained students’ benefits and understanding to the avionics and flight operations. Moreover, students doing capstone projects are also using the flight simulator as their research apparatus to investigate the interacting human factors involved, such as pilot reactions under different situations, for exploring possibilities of enhancing aviation safety.
To be more practical in both teaching, learning, and capstone experience, it is important to upgrade the existing A320 flight simulator with the following features
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Dr. Kam K.H. NG
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HKD $ 990K
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1 JUL 2022 - 30 JUN 2023
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Department of AAE, FEng, HK PolyU, HKSAR, China
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Department of AAE, FEng, HK PolyU, HKSAR, China
The next-generation multi-airport multi-modal mobility system: safety, sustainability, resilience, and efficiency
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This project aims to develop fundamental methodologies and technologies for the next-generation multi-airport
multi-modal mobility system. There is a fast-growing air travel demand worldwide (passengers and freights),
especially in densely populated areas and economy hubs such as Guangdong-Hong Kong-Macau Greater Bay
Area (GBA). Driven by the fast-growing social and economic activities and China’s strategic focus in GBA, the
construction of further airport facilities has been accelerating, and a world-class multi-airport cluster is expected
to form in GBA by 2025 (Global Times, 2021) that will serve billions of passengers/freights. These facts while
economically encouraging also bring in significant challenges in terms of safety, emission and air pollution,
system resilience, crowding and congestion. To develop a safe, sustainable, resilient, and efficient multi-airport
multi-modal mobility system with seamless coordination among different sub-systems and strong capability to
accommodate and recover from disruptions and/or special events is of critical importance.
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Dr. Kam K.H. NG
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HKD $ 400K
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1 JUN 2022 - 31 MAY 2024
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Intra-faculty interdisciplinary projects 2021/22
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The Hong Kong Polytechnic University, HKSAR, China
Towards solution robustness and network resilience of the terminal traffic flow and terminal airspace congestion control, Research grants council
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Data-driven, real-time, and collaborative decision support systems will be indispensable
in the near future. The airspace is divided into several parts and managed by different
air traffic control (ATC) centres. The runway and waypoint arrival time of an
approaching path are regulated by the ATC, and the pilot follows the suggested arrival
time and determines the approach speed. A pilot could make up the arrival time by
speed acceleration or at economic speed based on the required dynamic time of arrival
and airline fuel consumption policy. Therefore, it would be very challenging for an ATC
tower to make the terminal traffic flow decision preciously based on the constantly
changing terminal airspace traffic in the rudimentary spacing measure of a terminal
manoeuvring area (TMA). We could utilise the benefits of advanced automatic
surveillance-broadcast technology to envisage terminal traffic flow decision-making and
terminal airspace congestion control in a collaborative model. This project aims to
develop calibrated mathematical models and an on-line algorithmic framework
supporting the terminal traffic flow decision with regional aeronautical information from
adjacent flight information regions (FIRs) and data from real-time surveillancebroadcast
technology. The collaborative decision-making and situational awareness in
ATC can enhance the visibility of flight activities and facilitate the estimation of
incoming traffic in the area control jurisdiction. In the planning stage (usually few hours
before the actual operations), effective management of demand and capacity
optimisation could ensure better allocation of safety and capacity reservation on landing
slot, flight separation distance and capability of recovery from major distributions. At
the operational level, the terminal airspace congestion control, capacity management and
safe separation can be adjusted in the collaborative air traffic management. This
research would help foster further harmonious research on adaptive decision-making in
ATC and will contribute to both theory and practices in promoting a next-generation air
transportation system.
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Dr. Kam K.H. NG
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HKD $ 938.67K
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1 JAN 2022 - 31 DEC 2025
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Early career scheme
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Research Grants Council, HK Government, HKSAR
Uncertainty modelling in airline and airport management
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Scholar and faculty members need to think about the beneficial consequences of academic research and society, or namely research impact. According to Australian Research Council, research impact is “the demonstrable contribution that research makes to the economy, society, environment and culture beyond the contribution to academic research”. The dissemination of research outcome is one of the avenues for the research collaboration between PolyU and SHU in the near future.
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Dr. Kam K.H. NG
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HKD $ 40K
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1 JUL 2021 - 30 JUN 2022
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Mainland-Hong Kong University alliances activity 2021 – 2022
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Shanghai-Hong Kong University Alliance (SHUA), Mainland-Hong Kong University Alliances Activity
Data-driven and feedback-loop hyper-heuristics in an online flight trajectory prediction
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The historical trajectory records and controller behaviours will be assessed and support the feedback-loop learning in the automatic design of hyper-heuristics. As such, we expected that the accumulated big trajectory data can support the prediction accuracy in real-time. Furthermore, the aviation community is attempting to find a system-wide solution in ATC with the support of automatic decision aids technologies. Therefore, fast and efficient algorithms on trajectory prediction are desired. This research design attempts to deliver an inexpensive approach, solve the operational variance and improve the airborne delay by utilising the already existing flight information, historical data and near-time data signal from other aeronautical surveillance technologies. The PI expects that this project’s research outcome can benefit the idea exchange in the aviation community and increase the success rate of research fund in the future with the support of this fund.
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Dr. Kam K.H. NG
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HKD $ 50K
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1 JUN 2021 - 30 NOV 2022
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Departmental general research fund
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The Hong Kong Polytechnic University, HKSAR
Pricing research for passenger connecting transport service based on passenger travel choice
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在交通运输部“大部制”以及大力发展“综合交通”的政策背景下，各种交通方式
的协同发展和统筹规划是各方面研究人员共同的探索方向。2013年3月，国家发展
改革委《促进综合交通枢纽发展的指导意见》明确提出，要积极推进铁路、公路、
水运、民航等多种运输方式的客运联程系统建设。本项目针对综合交通运输旅客联
程运输需求特点，基于各种交通运输方式运作过程和特征，揭示基于旅客出行选择
的旅客联程运输票价定价机理；深入研究基于联程运输服务产品供给的旅客出行选
择模型，构建基于旅客出行选择的旅客联程运输票价双层规划模型；结合公铁、空
铁、铁水等典型旅客联程运输票价定价方法，验证模型有效性，并通过选择公铁、
空铁、铁水等应用场景开展应用示范研究。项目研究将促进实现各种运输方式的合
理分工和有机衔接，为提升综合交通运输系统的整体效率与效益提供支撑。
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Dr. Kam K.H. NG
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RMB $ 200K
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1 APR 2021 - 31 MAR 2023
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Sichuan international and Hong Kong, Macao and Taiwan science and technology cooperation project application 2021
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Sichuan international and Hong Kong, Macao and Taiwan science and technology cooperation project application 2021
The impacts of longitudinal separation, efficiency loss and cruise speed adjustment in robust terminal traffic flow problem under uncertainty
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Minimization of approaching time and maximization of the utilization of air route and airport resources are the two ultimate goals of air traffic control. This research considers arrival sequence and the uncertain arrival times at entry waypoints of flights and investigates the impact of air traffic controller specific parameters in the model. The two-stage optimization framework will first determine a deterministic schedule and optimize the approaching time while considering additional longitudinal separation, efficiency loss from deterministic schedule, and cruise speed adjustment in the second-stage optimization model via sample average approximation. The numerical experiments suggested an efficiency loss of 20%, which can absorb the empirical probabilistic lateness at entry waypoints with the real-world data. The proposed method could determine the estimated average delay time at runways with different settings of additional buffer for longitudinal separation and trade-off parameters between the estimated average delay time and estimated penalty cost of cruise speed adjustment.
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Dr. Kam K.H. NG
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HKD $ 550K
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1 OCT 2020 - 30 SEP 2023
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Internal grant, Start-up grant
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The Hong Kong Polytechnic University, HKSAR
Effects of Interaction Factors in Human-machine Interface, Human Factors and Ergonomic and Cognitive Modelling in Air Traffic Control Environment
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The purpose of the grant is to make “internationalisation at the home institution”. The goal of this workshop is to let students design their own applications such as an unmanned aerial vehicle (UAV), pilot, simple air traffic control (ATC), or any activities involving human controllers, and evaluate the brain cognitive performance of the subjects using electroencephalography (EEG). They can also make good use of their work on hand (e.g. FYP, UAV control, flight simulator, small scale flight model from the DBF team, etc.) if human factors analysis is directly applicable to their work. At the end of the workshop, students will need to do a presentation, and the judges will evaluate their work.
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Dr. Kam K.H. NG
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HKD $ 500K
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1 OCT 2020 - 30 SEP 2023
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Internal grant, Department of AAE
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The Hong Kong Polytechnic University, HKSAR
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