Description

With the development of the civil aviation transportation industry in recent years, the volume of civil aviation transportation has increased. Flight delay is a major problem in the aviation sector. During the last two decades, the growth of the aviation sector has caused air traffic congestion, which has caused flight delays. This system is, to improve the performance of predicting flight arrival delay time is of great significance for improving airport transportation efficiency. In our process, we have to take the input as time series dataset. After that, we have to implement the machine and deep learning algorithms such as support vector regression and long short term memory. The experimental results shows that the error values for each algorithm. The model has good prediction accuracy and can track the trends of multiple delay indicators well.