Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation

Table 1

List of the acronym used in the paper.

Acronym	Definition
Acc	Accuracy
AdaBoost	Adaptive boosting
ATCOs/ATM	Air traffic controllers/air traffic management
BPNN	Backpropagation neural network
CK	Cohen’s kappa
CNN	Convolutional neural network
DL/ML	Deep/machine learning
FP/FN	False positive/false negative
GNB	Gaussian naïve Bayes
KNN	K-nearest neighbour
LLR	Logistic linear regression
MAE	Mean average error
MLP	Multilayer perception
MTSI	Multichannel traffic scenario images
PCA	Principal component analysis
RF	Random forest
RTPE/RTT	Run-time per-epoch/run-time test
SOC/SOCNN	Sector operation complexity/SOC evaluation using CNN
SVM	Support vector machine
TP/TN	True positive/true negative