Optimization model of arrival and departure resource allocation in terminal area

WAN Li-li; HU Ming-hua; TIAN Yong; ZHANG Si

doi:10.19818/j.cnki.1671-1637.2016.02.013

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WAN Li-li, HU Ming-hua, TIAN Yong, ZHANG Si. Optimization model of arrival and departure resource allocation in terminal area[J]. Journal of Traffic and Transportation Engineering, 2016, 16(2): 109-117. doi: 10.19818/j.cnki.1671-1637.2016.02.013

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WAN Li-li, HU Ming-hua, TIAN Yong, ZHANG Si. Optimization model of arrival and departure resource allocation in terminal area[J]. Journal of Traffic and Transportation Engineering, 2016, 16(2): 109-117. doi: 10.19818/j.cnki.1671-1637.2016.02.013

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Optimization model of arrival and departure resource allocation in terminal area

doi: 10.19818/j.cnki.1671-1637.2016.02.013

WAN Li-li^{1, 2},
HU Ming-hua^{1, 2},
TIAN Yong^{1, 2},
ZHANG Si³

1.
School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China
2.
National Key Laboratory of Air Traffic Flow Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China
3.
Center for Air Transportation Systems Research, George Mason University, Fairfax 22030, Virginia, USA

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Author Bio:
WAN Li-li(1981-), female, lecturer, doctoral student, +86-25-52112039, wanlili@nuaa.edu.cn

HU Ming-hua(1962-), male, professor, PhD, +86-25-84896650, minghuahu@263.net
Received Date: 2015-11-11
Publish Date: 2016-04-25

Abstract

Abstract

In order to improve the operation efficiency of terminal area and reduce the flight delay, some factors such as airspace capacity and safety interval were considered, the minimum total flight fuel consumption, balance arrival fix holding time and minimum total flight delay were taken as optimization objectives, the optimization model of arrival and departure resource allocation in terminal area was established, the elitist non-dominated sorting genetic algorithm was designed, and example verification was carried out by using the real operation data of Shanghai terminal area.Calculation result shows that when the capacity of arrival fix SASAN decreases, compared with the first come first service(FCFS)strategy, the total fuel consumption decreases by 26.9% from 462 282.7 kg to 337 752.9 kg by using arrival fix allocation(AFA)strategy, HC, CO and NO_x emissions decrease from 492.6, 3 815.7 and 16 570.6 kg to 429.2, 3 352.1 and 14 129.1 kg respectively, total arrival fix holding time decreases by 93.5%, the average delay time of all flights decreases to 104 s, and the delays of 94.6% of flights are lessthan 600 s.Obviously, the optimization model can effectively solve the delay in terminal area because of traffic demand unbalance and fix capacity decrease, and improve the operation efficiency of terminal area.
- air transportation,
- terminal area,
- resource allocation,
- multi-objective optimization,
- AFA strategy,
- fuel consumption,
- emission,
- flight delay

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References

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Optimization model of arrival and departure resource allocation in terminal area

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