Passenger Flow Model for Airline Networks


BibTeX reference

We present a model that rapidly finds an approximation of the expected passenger flow on an airline network, given forecast data concerning 1) the distribution of the demand for each itinerary, seen as a random variable; 2) the time distribution of booking requests for each itinerary; and 3) the proportion of spill (from an itinerary) that is attracted to a given alternative itinerary. Solutions are found in a few seconds for a 30 000 itinerary network. Results differ from the expected passenger flow found by a simulation by about 0.1% for load factors below 80%.

, 26 pages

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G-2007-80.pdf (200 KB)