Air Traffic Control Network-Planning Model Based on Second-Order Markov Chains

forecasting has not progressed to the stage at which the behavior of individuals can be rationalized. Forecasting and modeling is still a crude process. It has been said that a forecast model is a muddled set of assumptions on an abstract piece of behavior. The link model calibrated on the 49 links from the seven Maritime Province airports can be considered to produce marginally acceptable results. The statistical parameters associated with the forecasting moael were significant at the 95 percent level. The model, although not recommended for use irt a detailed planning function, can be considered an acceptable departure point for the development of general aviation forecasting techniques for the Canadian Air Transport environment. The data supplied by Statistics Canada should be made available to other researchers so that development in this area can continue. The procedures for estimating commercial aviation activity are reasonably well advanced, and similar planning tools must become available for general aviation to enable 13