An Aggregate Air Traffic Forecasting Model subject to Stochastic Inputs

2013 ◽  
Author(s):  
Christabelle Bosson ◽  
Dengfeng Sun
Keyword(s):  
Air Traffic ◽  
Forecasting Model ◽  
Traffic Forecasting ◽  
Stochastic Inputs ◽  
Model Subject

Forecasting in Urban and Regional Planning Closed Loops: The Examples of Road and Air Traffic Forecasts

1978 ◽  
Vol 10 (2) ◽  
pp. 145-162 ◽  
Author(s):  
R J Bennett
Keyword(s):  
Regional Planning ◽  
Air Traffic ◽  
Forecasting Model ◽  
Parameter Estimates ◽  
Leading Indicators ◽  
Policy Feedback ◽  
Urban And Regional Planning ◽  
Closed Loops ◽  
Traffic Forecasting ◽  
Main Effects

Attempts to forecast in situations in which the leading indicators are also used as policy variables are beset by a number of statistical problems which affect the specification of the forecasting model, estimation of its parameters, and the design of policy itself. The main effects are that when there is perfect policy feedback the forecasting model cannot be identified at all; when there is partial or imperfect feedback the forecasting model is collinear, underidentified, and least-squares parameter estimates will be biased. Estimation procedures available in closed loops are reviewed, and the application of these methods to road and air traffic forecasting is discussed.

scholarly journals Forecasting Passenger Traffic for a Regional Airport

2019 ◽  
Vol 14 (2) ◽  
pp. 105-114
Author(s):  
Opreana Alin ◽  
Țichindelean Mihai ◽  
Mihaiu Diana Marieta ◽  
Tileagă Cosmin
Keyword(s):  
Regression Model ◽  
Air Traffic ◽  
Forecasting Model ◽  
Airport Management ◽  
Step Process ◽  
Traffic Forecasting ◽  
Passenger Traffic ◽  
Forecasting Models ◽  
International Airport

AbstractThe purpose of the present research is estimating the potential traffic for SIA (Sibiu International Airport, SBZ) for the year 2017. Predicting as accurate as possible the passenger traffic for a certain airport is an aspect of major importance for both the airport management and the airline companies. The theoretical quality of the forecasting models for air traffic of passengers is fundamental for obtaining the most accurate predictions. In this regard, a two-step process was used in developing the traffic forecasting model: (1) Identifying the proper regression model for traffic estimation based on the number of aircraft departures, and (2) Forecasting the number of aircraft departures for the current routes operated SIA. The predicted total passenger traffic overestimates the actual total traffic with only 2.4% and the actual total traffic without the transit traffic with only 1.42%.

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