A CNN-GRU Hybrid Model for Predicting Airport Departure Taxiing Time
Ligang Yuan,
Jing Liu,
Haiyan Chen
et al.
Abstract:Scene taxiing time is an important indicator for assessing the operational efficiency of airports as well as green airports, and it is also a fundamental parameter in flight regularity statistics. The accurate prediction of taxiing time can help decision makers to further optimize flight pushback sequences and improve airport operational efficiency while increasing flight punctuality. In this paper, we propose a hybrid deep learning model for departure taxiing time prediction based on the new influence factors… Show more
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