Flight Delay Forecasting Based on Airport Networks

The ceaseless development in the interest for air transportation surpasses the limit of existing foundation, generally prompting questionable flight plans, such as long flight delays and uncertainties in landing/take-off and taxi pickup and drop times. This issue is handled by building a model which can oblige both airplane terminal throughputs furthermore by predicting the delay times of corresponding airlines. Using technology of Big Data, the forecasts, timings are analysed to make such delays reduce by small amount. With the future proposal of Spark technology, the datasets can be made real-time and reduces delays of flights by a significant chunk of time.