Abstract: The technology developments in Aviation have been and will continue to be at the progressive of human technological and scientific development. The present paper analyses the airline revenue passenger miles on monthly base in the past ten years. Time series analysis is used to predict the increase in revenue passenger miles using the previous years’ data from the corresponding time period. The paper also shows the random change of data which will be pre-processed for analysis. Moreover, it presents the seasonal change and the trend that the dataset is following. Based on all these factors, the revenue passenger miles for future years are predictedand the results are shown with graphical output.
Keywords: Airline Revenue Passenger Miles, Prediction, Time Series, Moving Average Model