Aiming at the above problem, a flight delay prediction method based on Att-Conv-LSTM is proposed. First, in order to fully extract both temporal and spatial information contained in the dataset, the long short-term memory network is used for getting time characteristics, and a convolutional ...
Here, ML algorithms like decision tree, logistic regression, and random forest along with proposed DL method called long short-term memory (LSTM) is applied on flight delay dataset. This paper aims to find and improve the substantially operational efficiency in airline sector by allowing airlines ...
Most importantly, the time-frequency analysis is confirmed to be effective to achieve the flight trajectory prediction task.Similar content being viewed by others A Trajectory Prediction Method Based on Maneuver Recognition Chapter © 2023 TraNet: A Hybrid Deep Neural Network for Long-Time-Scale ...
Accurate flight trajectory prediction is a crucial and challenging task in air traffic control, especially for maneuver operations. Modern data-driven methods are typically formulated as a time series forecasting task and fail to retain high accuracy. Me
which increases the strength of the training model based on historical data. For target future flights, the algorithm works on inheriting the predicted flight delay to the next flight on the same flight path and repeats this process to end the prediction forecast horizon. The proving of approach...
Directional distance function is used to evaluate the efficiency of Chinese airports.Flight delay is included as an undesirable output in airport efficiency evaluation.International hub airports showed better operating performance.The performance difference between listed and non-listed airports is insignificant...
Here, ML algorithms like decision tree, logistic regression, and random forest along with proposed DL method called long short-term memory (LSTM) is applied on flight delay dataset. This paper aims to find and improve the substantially operational efficiency in airline sector by allowing airlines ...
Aiming at the above problem, a flight delay prediction method based on Att-Conv-LSTM is proposed. First, in order to fully extract both temporal and spatial information contained in the dataset, the long short-term memory network is used for getting time characteristics, and a convolutional ...
Therefore, we fuse the attention module SimAM on the basis of CNN-MLSTM to improve the prediction accuracy. The final model is named SimAM-CNN-MLSTM. According to the spatial and temporal characteristics of flight chains, in this paper, the method of flight delay propagation prediction based ...
An Airport Scene Delay Prediction Method Based on LSTM. In Advanced Data Mining and Applications; Lecture Notes in Computer Science; Springer: Cham, Switzerland; Nanjing, China, 2018; pp. 160–169. [Google Scholar] Qu, J.; Zhao, T.; Ye, M.; Li, J.; Liu, C. Flight Delay Prediction...