AN AIR TRAFFIC FORECASTING STUDY AND SIMULATION
Journal: MATTER: International Journal of Science and Technology (Vol.2, No. 3)Publication Date: 2016-11-15
Authors : S. M. PHYOE; R. GUO; Z. W. ZHONG;
Page : 55-69
Keywords : Air Traffic Forecasting; Traffic Growth; Econometric Models; ARIMAX; ARIMA; Exponential Trend Projection;
Abstract
This paper analyzes the forecasting performance for air traffic movement by comparing different models. The relationship between economic variables and the air traffic demand is analyzed by tracing the past several years' data. The econometric models are emphasized, and a long term forecast is concentrated in this air traffic forecasting study. The aim is to find the suitable methods and variables to be applicable to the situation similar to Singapore FIR and also to improve the forecasting accuracy. The conflicts and the density of air traffic in Singapore FIR are estimated in this paper by using the results of forecasting
Other Latest Articles
- ANALYSIS OF WALL SHEAR PARAMETERS OF PHYSIOLOGICAL PULSATILE FLOW THROUGH MILD AND SEVERE ARTERIAL STENOSIS AND CORRELATION TO ATHEROSCLEROSIS
- THE DIVERGENCES OF ORGANIC CHARACTERISTICS OF SOURCE WATERS FROM FS AND CCL WATER TREATMENT AND ITS REMOVAL BY ALUM
- THE LONG -TERM VARIATION OF ORGANIC CHARACTERISTICS IN DONGGANG RIVER USING EXCITATION EMISSION FLUORESCENT MATRIX (EEFM) INTEGRATED WITH PARALLEL FACTOR ANALYSIS (PARAFAC)
- AN EVALUATION OF CONNECTED COMPONENTS LABELLING USING GPGPU
- MODIFIED SELECTION OF INITIAL CENTROIDS FOR K- MEANS ALGORITHM
Last modified: 2018-04-26 17:57:00