Delay propagation evaluation of flight chain model based on big data visual analytics

Abstract

By analyzing the historical data of flight delay, the delay problem can be effectively prevented and controlled. The spread of delay propagation in continuous flights often leads to large-scale flight delays. Aiming at the problems of flight delay propagation, a flight chain model is proposed to evaluate flight delays. Because flight data has the characteristics of time and space, the flight delay visualization analytics system is put forward to directly interpret the spatio-temporal pattern of flight delay. The time-varying delay trend is shown by the time line chart and sequence histogram. At the same time, it analysis the time sequence of the impact of flight delays on the consecutive flights through the thermal sequence diagram of flight and parallel coordinate chart. The spatial model reflects the spatial distribution rule and spatial clustering results of delay in airports in different regions by thermal map and rectangular tree diagram. Simultaneously, through the tree diagram of flight propagation delay from the perspective of spatial spread, the delay sweep problems are intuitively analyzed. According to the results of the delay spread assessment and visualization, it can provide corresponding suggestions for various departments to control the delay propagation.