The Fuzzy Origin–Destination Matrix Estimation for Planning Air Traffic

Владимир Петрович Осипов, Vladimir Anatolievich Sudakov · 2020

The work suggests an original approach, which allows to get a fuzzy origin-destination matrix on the basis of data on flows on the arcs of the transport column. For this purpose, a number of optimization models to determine fuzzy intervals of correspondence and search for correspondence with the maximum value of the membership function. Algorithmic and software for fuzzy correspondence search has been developed. Perspective of the given approach is shown on an example of a problem of the analysis of transport streams in passenger air transportation.

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