Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion
Name
esd-wp-2014-20.pdf
Size
3.14 MB
Format
Adobe PDF
Checksum (MD5)
0f672f31fc1a0101d3f7ca2fba27a85b
Author(s)
Jacquillat, Alexandre
Odoni, Amedeo R.
Date Issued
July 2014
Publisher
Massachusetts Institute of Technology. Engineering Systems Division
Series/Report no.
ESD Working Papers;ESD-WP-2014-20
Abstract
Airport congestion mitigation requires reliable delay estimates. This paper presents an integrated model of airport congestion that combines a tactical model of capacity utilization into a strategic queuing model. The model quantifies the relationships between flight schedules, airport capacity and flight delays, while accounting for the way arrival and departure service rates can be controlled over the day to maximize operating efficiency. We show that the model estimates well the average and variability of the delays observed at New York’s airports. Results suggest that delays can be extremely sensitive to even small changes in flight schedules or airport capacity.
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