A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research

S Chen, L Wu, KKH Ng, W Liu, K Wang - Transportation Research Part E …, 2024 - Elsevier
The escalating demand for air travel has significant environmental implications, such as air
pollution and noise nuisance, compelling airports to mitigate their negative impacts on the …

Aircraft taxi time prediction: Feature importance and their implications

X Wang, AEI Brownlee, JR Woodward… - … Research Part C …, 2021 - Elsevier
Taxiing remains a major bottleneck at many airports. Recently, several approaches to
allocating efficient routes for taxiing aircraft have been proposed. The routing algorithms …

[HTML][HTML] Multi-objective routing and scheduling for airport ground movement

M Weiszer, EK Burke, J Chen - Transportation Research Part C: Emerging …, 2020 - Elsevier
Recent research on airport ground movement introduced an Active Routing framework to
support multi-objective trajectory-based operations. This results in edges in the airport …

Accurate tracking, collision detection, and optimal scheduling of airport ground support equipment

S Wang, Y Che, H Zhao, A Lim - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In order to lower the ramp risk and improve the aircraft ground handling efficiency, we aim to:
1) track ground support equipment (GSE) in a real-time and high-accuracy manner so that …

[HTML][HTML] A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties

X Wang, AEI Brownlee, M Weiszer… - … Research Part C …, 2021 - Elsevier
Airport ground movement remains a major bottleneck for air traffic management. Existing
approaches have developed several routing allocation methods to address this problem, in …

Development of the approach to the analysis of aviation industry's adaptation to seasonal disruptions

S Bakreen, E Markovskaya, I Merzlikin… - Transportation Research …, 2022 - Elsevier
The main purpose of this study is to develop a model that will allow predicting the stability of
the aviation industry to various failures. The main focus is on the Covid-19 period, as it had a …

Towards explainable metaheuristic: mining surrogate fitness models for importance of variables

M Singh, AEI Brownlee, D Cairns - Proceedings of the Genetic and …, 2022 - dl.acm.org
Metaheuristic search algorithms look for solutions that either maximise or minimise a set of
objectives, such as cost or performance. However most real-world optimisation problems …

Data-driven trajectory-based analysis and optimization of airport surface movement

J Ma, J Zhou, M Liang, D Delahaye - Transportation Research Part C …, 2022 - Elsevier
Driven by the recent deployment of equipment and the availability of data, aircraft
trajectories on the surface can be tracked continuously, and the detailed analysis of surface …

A risk-informed decision support tool for the strategic asset management of railway track infrastructure

M Sasidharan, MPN Burrow… - Proceedings of the …, 2022 - journals.sagepub.com
The provision of safe, efficient, reliable and affordable railway transport requires the railway
track infrastructure to be maintained to an appropriate condition. Given the constrained …