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Real-time airport surface movement planning : Minimizing aircraft emissions. / Evertse, C.; Visser, H. G.

In: Transportation Research. Part C: Emerging Technologies, Vol. 79, 01.06.2017, p. 224-241.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Evertse, C & Visser, HG 2017, 'Real-time airport surface movement planning: Minimizing aircraft emissions' Transportation Research. Part C: Emerging Technologies, vol. 79, pp. 224-241. https://doi.org/10.1016/j.trc.2017.03.018

APA

Evertse, C., & Visser, H. G. (2017). Real-time airport surface movement planning: Minimizing aircraft emissions. Transportation Research. Part C: Emerging Technologies, 79, 224-241. https://doi.org/10.1016/j.trc.2017.03.018

Vancouver

Evertse C, Visser HG. Real-time airport surface movement planning: Minimizing aircraft emissions. Transportation Research. Part C: Emerging Technologies. 2017 Jun 1;79:224-241. https://doi.org/10.1016/j.trc.2017.03.018

Author

Evertse, C. ; Visser, H. G. / Real-time airport surface movement planning : Minimizing aircraft emissions. In: Transportation Research. Part C: Emerging Technologies. 2017 ; Vol. 79. pp. 224-241.

BibTeX

@article{a88fb7edf32a4e1ba8313b0df97a4c59,
title = "Real-time airport surface movement planning: Minimizing aircraft emissions",
abstract = "This paper presents a study towards the development of a real-time taxi movement planning system that seeks to optimize the timed taxiing routes of all aircraft on an airport surface, by minimizing the emissions that result from taxiing aircraft operations. To resolve this online planning problem, one of the most commonly employed operations research methods for large-scale problems has been successfully used, viz., mixed-integer linear programming (MILP). The MILP formulation implemented herein permits the planning system to update the total taxi planning every 15 s, allowing to respond to unforeseen disturbances in the traffic flow. Extensive numerical experiments involving a realistic (hub) airport environment bear out that an estimated environmental benefit of 1–3 percent per emission product can be obtained. This research effort clearly demonstrates that a surface movement planning system capable of minimizing the emissions in conjunction with the total taxiing time can be beneficial for airports that face dense surface traffic and stringent environmental requirements.",
keywords = "Airport surface movement planning, Emissions, Mixed-integer linear programming",
author = "C. Evertse and Visser, {H. G.}",
year = "2017",
month = "6",
day = "1",
doi = "10.1016/j.trc.2017.03.018",
language = "English",
volume = "79",
pages = "224--241",
journal = "Transportation Research. Part C: Emerging Technologies",
issn = "0968-090X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Real-time airport surface movement planning

T2 - Transportation Research. Part C: Emerging Technologies

AU - Evertse, C.

AU - Visser, H. G.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - This paper presents a study towards the development of a real-time taxi movement planning system that seeks to optimize the timed taxiing routes of all aircraft on an airport surface, by minimizing the emissions that result from taxiing aircraft operations. To resolve this online planning problem, one of the most commonly employed operations research methods for large-scale problems has been successfully used, viz., mixed-integer linear programming (MILP). The MILP formulation implemented herein permits the planning system to update the total taxi planning every 15 s, allowing to respond to unforeseen disturbances in the traffic flow. Extensive numerical experiments involving a realistic (hub) airport environment bear out that an estimated environmental benefit of 1–3 percent per emission product can be obtained. This research effort clearly demonstrates that a surface movement planning system capable of minimizing the emissions in conjunction with the total taxiing time can be beneficial for airports that face dense surface traffic and stringent environmental requirements.

AB - This paper presents a study towards the development of a real-time taxi movement planning system that seeks to optimize the timed taxiing routes of all aircraft on an airport surface, by minimizing the emissions that result from taxiing aircraft operations. To resolve this online planning problem, one of the most commonly employed operations research methods for large-scale problems has been successfully used, viz., mixed-integer linear programming (MILP). The MILP formulation implemented herein permits the planning system to update the total taxi planning every 15 s, allowing to respond to unforeseen disturbances in the traffic flow. Extensive numerical experiments involving a realistic (hub) airport environment bear out that an estimated environmental benefit of 1–3 percent per emission product can be obtained. This research effort clearly demonstrates that a surface movement planning system capable of minimizing the emissions in conjunction with the total taxiing time can be beneficial for airports that face dense surface traffic and stringent environmental requirements.

KW - Airport surface movement planning

KW - Emissions

KW - Mixed-integer linear programming

UR - http://www.scopus.com/inward/record.url?scp=85016621910&partnerID=8YFLogxK

U2 - 10.1016/j.trc.2017.03.018

DO - 10.1016/j.trc.2017.03.018

M3 - Article

VL - 79

SP - 224

EP - 241

JO - Transportation Research. Part C: Emerging Technologies

JF - Transportation Research. Part C: Emerging Technologies

SN - 0968-090X

ER -

ID: 19338777