ASSD-YOLO: a small object detection method based on improved YOLOv7 for airport surface surveillance
W Zhou, C Cai, L Zheng, C Li, D Zeng - Multimedia Tools and Applications, 2024 - Springer
The airport surface surveillance system is essential in ensuring airport safety and
maximizing the efficient utilization of airport resources. Current airport detection algorithms …
maximizing the efficient utilization of airport resources. Current airport detection algorithms …
A spatial-temporal approach for multi-airport traffic flow prediction through causality graphs
Accurate airport traffic flow estimation is crucial for the secure and orderly operation of the
aviation system. Recent advances in machine learning have achieved promising prediction …
aviation system. Recent advances in machine learning have achieved promising prediction …
Distribution prediction of strategic flight delays via machine learning methods
Predicting flight delays has been a major research topic in the past few decades. Various
machine learning algorithms have been used to predict flight delays in short-range horizons …
machine learning algorithms have been used to predict flight delays in short-range horizons …
An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China–Europe railway express
Since the inception of the China–Europe Railway Express (CRE), rail transportation has
emerged as a predominant means of transporting goods across international borders. The …
emerged as a predominant means of transporting goods across international borders. The …
Bi-objective airport slot scheduling considering scheduling efficiency and noise abatement
This paper aims to explore the contribution of slot allocation to noise abatement at schedule
coordinated airports. To this end, we first build a single-airport bi-objective model that …
coordinated airports. To this end, we first build a single-airport bi-objective model that …
Finding spatial and temporal features of delay propagation via multi-layer networks
Air traffic system is a typical complex network with dynamic delay propagation between
airports. However, difficulties in measuring delay propagation strength and constructing …
airports. However, difficulties in measuring delay propagation strength and constructing …
A spatio-temporal approach with self-corrective causal inference for flight delay prediction
Accurate flight delay prediction is crucial for the secure and effective operation of the air
traffic system. Recent advances in modeling inter-airport relationships present a promising …
traffic system. Recent advances in modeling inter-airport relationships present a promising …
A graph multi-attention network for predicting airport delays
Predicting airport delays is of great importance for aviation operations, from the development
of effective air traffic management strategies to the reallocation of airline resources. In this …
of effective air traffic management strategies to the reallocation of airline resources. In this …
[HTML][HTML] Collision risk assessment of reduced aircraft separation minima in procedural airspace using advanced communication and navigation
With the advancement of Communication, Navigation and Surveillance (CNS) technologies
such as space-based Automatic Dependent Surveillance-Broadcast/Contract (ADS-B/C) …
such as space-based Automatic Dependent Surveillance-Broadcast/Contract (ADS-B/C) …
A queuing network model of a multi-airport system based on point-wise stationary approximation
X Zhao, Y Wang, L Li, D Delahaye - Aerospace, 2022 - mdpi.com
A multiple-airport system (MAS) consists of more than two airports in a metropolitan area
under a large block of terminal airspace that is managed by one or two air traffic control …
under a large block of terminal airspace that is managed by one or two air traffic control …