Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion
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...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Engineering Systems Division
2016
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| Online Access: | http://hdl.handle.net/1721.1/103013 |
| _version_ | 1826201507307978752 |
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| author | Jacquillat, Alexandre Odoni, Amedeo R. |
| author_facet | Jacquillat, Alexandre Odoni, Amedeo R. |
| author_sort | Jacquillat, Alexandre |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:52:32Z |
| format | Working Paper |
| id | mit-1721.1/103013 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:52:32Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology. Engineering Systems Division |
| record_format | dspace |
| spelling | mit-1721.1/1030132019-04-10T09:29:32Z Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion Jacquillat, Alexandre Odoni, Amedeo R. 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. 2016-06-06T21:58:26Z 2016-06-06T21:58:26Z 2014-07 Working Paper http://hdl.handle.net/1721.1/103013 en_US ESD Working Papers;ESD-WP-2014-20 application/pdf Massachusetts Institute of Technology. Engineering Systems Division |
| spellingShingle | Jacquillat, Alexandre Odoni, Amedeo R. Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion |
| title | Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion |
| title_full | Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion |
| title_fullStr | Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion |
| title_full_unstemmed | Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion |
| title_short | Endogenous Control of Service Rates in Stochastic and Dynamic Queuing Models of Airport Congestion |
| title_sort | endogenous control of service rates in stochastic and dynamic queuing models of airport congestion |
| url | http://hdl.handle.net/1721.1/103013 |
| work_keys_str_mv | AT jacquillatalexandre endogenouscontrolofserviceratesinstochasticanddynamicqueuingmodelsofairportcongestion AT odoniamedeor endogenouscontrolofserviceratesinstochasticanddynamicqueuingmodelsofairportcongestion |