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How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research
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 …
pollution and noise nuisance, compelling airports to mitigate their negative impacts on the …
An effective and robust genetic algorithm with hybrid multi-strategy and mechanism for airport gate allocation
Z Zhu, X Li, H Chen, X Zhou, W Deng - Information Sciences, 2024 - Elsevier
Gate allocation is a combinatorial scheduling problem with multi-constraint and multi-
objective. It is challenging to solve this problem when the size of flights increases …
objective. It is challenging to solve this problem when the size of flights increases …
[HTML][HTML] Tcn-informer-based flight trajectory prediction for aircraft in the approach phase
Z Dong, B Fan, F Li, X Xu, H Sun, W Cao - Sustainability, 2023 - mdpi.com
Trajectory prediction (TP) is a vital operation in air traffic control systems for flight monitoring
and tracking. The approach phase of general aviation (GA) aircraft is more of a visual …
and tracking. The approach phase of general aviation (GA) aircraft is more of a visual …
Quick taxi route assignment via real-time intersection state prediction with a spatial-temporal graph neural network
F Wang, J Bi, D **e, X Zhao - Transportation Research Part C: Emerging …, 2024 - Elsevier
The optimization of airport taxi routes is crucial for increasing airport capacity and resource
utilization. However, existing methods for preplanning schedules are often time-consuming …
utilization. However, existing methods for preplanning schedules are often time-consuming …
[HTML][HTML] Research on joint ground movement optimization based on bilevel programming
R Sun, J Li, K Niu, Y Tian, C Xu - Aerospace, 2022 - mdpi.com
Requirements of digitization, intellectualization, and integration for the programming and
management of air transportation have been recommended as information technology …
management of air transportation have been recommended as information technology …
A holistic approach for optimal pre-planning of multi-path standardized taxiing routes
L Yang, S Wang, F Liang, Z Zhao - Aerospace, 2021 - mdpi.com
Standardized Taxiing Routes (STRs) are defined as published taxiing-in and taxiing-out
routes for aircraft between gates and runways, aiming at improving ground movement safety …
routes for aircraft between gates and runways, aiming at improving ground movement safety …
Aircraft Taxi Path Optimization Considering Environmental Impacts Based on a Bilevel Spatial–Temporal Optimization Model
Y Chen, L Quan, J Yu - Energies, 2024 - mdpi.com
Aircraft taxiing emissions are the main source of carbon dioxide and other pollutant gas
emissions during airport ground operations. It is crucial to optimize aircraft taxiing from both …
emissions during airport ground operations. It is crucial to optimize aircraft taxiing from both …
[HTML][HTML] A Two-Stage Optimization Model for Airport Stand Allocation and Ground Support Vehicle Scheduling
M Yao, M Hu, J Yin, J Su, M Yin - Applied Sciences, 2024 - mdpi.com
To address the issues of inefficient resource allocation and severe ground congestion at hub
airports during aircraft turnaround operations, a two-stage optimization model is constructed …
airports during aircraft turnaround operations, a two-stage optimization model is constructed …
Gain-scheduled linear-quadratic-regulator synthesis for the centre of gravity variations of Boeing 747-100 longitudinal modes
EM Elarbi, DS Laila, NM Horri - International Journal of …, 2022 - pureportal.coventry.ac.uk
For the variation in the centre of gravity (CG) of Boeing 747-100 (B747-100) longitudinal
flight, the gain scheduling (GS) method is proposed to manage it over the flight envelope …
flight, the gain scheduling (GS) method is proposed to manage it over the flight envelope …
Research on Intelligent Maneuvering Decision Making Based on Deep Reinforcement Learning
Y Wang, Y Jiang, H Xu, Y Zhang - … International Symposium on …, 2024 - ieeexplore.ieee.org
At present, the maneuvering environment is complex and changeable, and unmanned
platforms are faced with a variety of uncertain factors when carrying out multiple tasks. In …
platforms are faced with a variety of uncertain factors when carrying out multiple tasks. In …