Research Article
Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation
Table 2
Summary of previous works in air traffic complexity evaluation.
| | Category | Related research | Paper |
| | Single model | Difficulty to resolve potential flight conflicts | Lee et al. [12] | | Probability of flight conflicts | Prandini et al. [13] | | Lyapunov exponent of trajectory | Delahaye and Puechmorel [14, 18] |
| | Factor system | Dynamic density method (linear) | Kopardekar and Magyarits [15] | | PCA + BPNN | Gianazza [16] | | Genetic algorithm + AdaBoost | Xiao et al. [17] | | Semisupervised and active learning | Zhu et al. [20] | | Transfer learning | Cao et al. [2] |
| | Image-based factors | Deep convolutional neural network | This paper |
|
|