Due to increasing passenger and flight numbers, airports need to plan and schedule carefully to avoid wasting their resources, but also congestion and missed flights. In this paper, we present a deep learning framework for predicting the number of passengers arriving at an airport within a 15-min interval. To this end, a first neural network predicts the number of passengers on a given flight. These results are then being used with a second neural network to predict the number of passengers in each interval.
Predictive Analytics in Aviation Management: Passenger Arrival Prediction
Operations Research Proceedings
2020-09-25
8 pages
Article/Chapter (Book)
Electronic Resource
English
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