A study of the relationship between adverse weather conditions and flight delay

Abstract

Abstract-Previous studies have indicated the possibility of a relationship between adverse weather conditions and flight delays. Various methods had been employed to determine the effect of adverse weather conditions on flight delays, such as the directed acyclic graph and Autoregressive Integrated Moving Average (ARIMA) model [4], [5]. In this case study for Singapore, linear and square root regression methods were used as a preliminary step to determine and understand this relationship which had not been done before. The SAAM software from EUROCONTROL was also used to illustrate the effect of weather on flights. By the comparison of the R squared values obtained, it was determined that the square root model was better for representing the relationship between adverse weather conditions and flight delays. The models and results from this case study could be applied to modelling and optimization studies of airports and airspace on a macroscopic level in Singapore or the other nations in Southeast Asia which have similar climate, as well as other areas such as forecasting and sectorization. Future research could also be done using more advanced methodologies or models.

Transfer of the data preprocessing parameters and fore- casting models

“…The analysis of forecasting studies [7,8,9,10] of the NDVI time series is made in the paper and some shortcomings are found. The studies [7,8,9] do not always achieve high forecasting accuracy, but it depends on various factors, e.g., the use of additional data.…”