Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process
The runway configuration is the subset of the runways at an airport that are used for arrivals and departures at any time. Many factors, including weather (wind and visibility), expected arrival and departure demand, environmental considerations such as noise abatement procedures, and coordination o...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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| Online Access: | http://hdl.handle.net/1721.1/81188 https://orcid.org/0000-0002-8624-7041 |
| _version_ | 1826199094720200704 |
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| author | Ramanujam, Varun Balakrishnan, Hamsa |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Ramanujam, Varun Balakrishnan, Hamsa |
| author_sort | Ramanujam, Varun |
| collection | MIT |
| description | The runway configuration is the subset of the runways at an airport that are used for arrivals and departures at any time. Many factors, including weather (wind and visibility), expected arrival and departure demand, environmental considerations such as noise abatement procedures, and coordination of flows with neighboring airports, govern the choice of runway configuration. This paper develops a statistical model to characterize this process using empirical observations. In particular, we demonstrate how a maximum-likelihood discrete-choice model of the runway configuration process can be estimated using aggregate traffic count and other archived data at an airport, that are available over 15 minute intervals. We show that the estimated discrete-choice model not only identifies the influence of various factors in decision-making, but also provides significantly better predictions of runway configuration changes than a baseline model based on the frequency of occurrence of different configurations. The approach is illustrated using data from Newark (EWR) and LaGuardia (LGA) airports. |
| first_indexed | 2024-09-23T11:14:39Z |
| format | Article |
| id | mit-1721.1/81188 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:14:39Z |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/811882022-09-27T18:05:50Z Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process Ramanujam, Varun Balakrishnan, Hamsa Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Engineering Systems Division Ramanujam, Varun Balakrishnan, Hamsa The runway configuration is the subset of the runways at an airport that are used for arrivals and departures at any time. Many factors, including weather (wind and visibility), expected arrival and departure demand, environmental considerations such as noise abatement procedures, and coordination of flows with neighboring airports, govern the choice of runway configuration. This paper develops a statistical model to characterize this process using empirical observations. In particular, we demonstrate how a maximum-likelihood discrete-choice model of the runway configuration process can be estimated using aggregate traffic count and other archived data at an airport, that are available over 15 minute intervals. We show that the estimated discrete-choice model not only identifies the influence of various factors in decision-making, but also provides significantly better predictions of runway configuration changes than a baseline model based on the frequency of occurrence of different configurations. The approach is illustrated using data from Newark (EWR) and LaGuardia (LGA) airports. 2013-09-26T13:37:23Z 2013-09-26T13:37:23Z 2011-07 Article http://purl.org/eprint/type/ConferencePaper 9781457700804 http://hdl.handle.net/1721.1/81188 Ramanujam, Varun; Balakrishnan, Hamsa. "Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process." Proceedings of the American Control Conference (AAC 2011), San Francisco, CA. https://orcid.org/0000-0002-8624-7041 en_US http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5991446&tag=1 Proceedings of the American Control Conference (AAC 2011) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Ramanujam, Varun Balakrishnan, Hamsa Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process |
| title | Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process |
| title_full | Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process |
| title_fullStr | Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process |
| title_full_unstemmed | Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process |
| title_short | Estimation of maximum-likelihood discrete-choice models of the runway configuration selection process |
| title_sort | estimation of maximum likelihood discrete choice models of the runway configuration selection process |
| url | http://hdl.handle.net/1721.1/81188 https://orcid.org/0000-0002-8624-7041 |
| work_keys_str_mv | AT ramanujamvarun estimationofmaximumlikelihooddiscretechoicemodelsoftherunwayconfigurationselectionprocess AT balakrishnanhamsa estimationofmaximumlikelihooddiscretechoicemodelsoftherunwayconfigurationselectionprocess |