| Title |
The modelling and analysis of flights time delay and arrival times using deep neural networks / |
| Translation of Title |
Skrydžių vėlavimų ir atvykimo laikų modeliavimas ir analizė taikant giliuosius neuroninius tinklus. |
| Authors |
Liavonava, Anastasiya |
| Full Text |
|
| Pages |
57 |
| Keywords [eng] |
Regression, Probability distribution, Deep neural networks, Transformers, Flight delay |
| Abstract [eng] |
Since 1927, when a commercial airline system had been born, and to this moment flights delay is an important and unsolved problem in aviation. It has negative impacts, mainly economic, for all market representatives. In view of the expected continued flights delay growth, the current research is relevant. The thesis is dedicated to the exploration of flight delay problems and different neural networks estimation to predict it. Additionally to that, remaining time before landing was predicted to expand the information provided about delay. It is experimentally proved that models estimating probability-distribution parameters perform better then models estimating value of delay itself. |
| Dissertation Institution |
Vilniaus universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2022 |
