Towards a Prediction Engine for Flight Delays based on Weather Delay Analysis

In our work, we investigate in how far weather conditions have an actual impact on the punctuality of a flight. Following up on the insights gained in this step, we determine categories of impacts to allow for more generalisation. Subsequently, we use the categories and apply them in a prediction model. We fill the model with historical data. Accordingly, the model and corresponding data are the foundation for live predictions on actual flights. Our investigation indicates that the conditions' impact increases significantly once they appear closer to the airports. It identifies four weather conditions which have a significant impact on flights. These conditions lead to different lenghts of delay, which are considered within the linear equitation to predict the delays for prospective flights.