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A dynamic stochastic model for conve...

Chen, Jun.

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A dynamic stochastic model for converging inbound air traffic.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A dynamic stochastic model for converging inbound air traffic./
作者:	Chen, Jun.
面頁冊數:	47 p.
附註:	Source: Masters Abstracts International, Volume: 54-03.
Contained By:	Masters Abstracts International54-03(E).
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1584776
ISBN:	9781321597974

A dynamic stochastic model for converging inbound air traffic.
Chen, Jun.

A dynamic stochastic model for converging inbound air traffic. - 47 p.

Source: Masters Abstracts International, Volume: 54-03.

Thesis (M.S.A.A.)--Purdue University, 2014.

Weather accounts for the majority of congestion in the National Airspace System which highlights the importance of addressing weather uncertainty to mitigate delays, and this paper presents an effort in this direction.

ISBN: 9781321597974Subjects--Topical Terms:

1002622
Aerospace engineering.

A dynamic stochastic model for converging inbound air traffic.
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245 1 2 $a A dynamic stochastic model for converging inbound air traffic.
300 $a 47 p.
500 $a Source: Masters Abstracts International, Volume: 54-03.
500 $a Adviser: Dengfeng Sun.
502 $a Thesis (M.S.A.A.)--Purdue University, 2014.
520 $a Weather accounts for the majority of congestion in the National Airspace System which highlights the importance of addressing weather uncertainty to mitigate delays, and this paper presents an effort in this direction.
520 $a Firstly, a new dynamic stochastic 0-1 Integer Programming (IP) model is proposed, which models the Single Airport Ground Holding Problem (SAGHP) with respect to uncertainty in the separation between flights instead of Airport Acceptance Rate (AAR) or landing capacity. Uncertainty in separation according to different weather conditions is represented through the scenario tree by using stochastic linear programming. Considering time separation constraints instead of AAR constraints, our model is able to schedule a more accurate plan for the individual flight in minutes.
520 $a Secondly, a converging inbound air traffic model is formulated based on our dynamic stochastic IP model. We address a problem involving two paths inbound air traffic merging into a single airport in which uncertainty in separation from Minute-In-Trail restrictions is considered. Although "First Come, First Serve" policy is still obeyed by flights on the same path, the experimentation has shown that, allowing flights on different paths to switch arrival orders can help reduce the total delays.
520 $a Finally, in order to tackle the running time problem faced by the disaggregate integer model we built, we introduce dual decomposition method into the model to improve the computing efficiency. The original problem is decomposed scenario by scenario into several sub-problems based on the dual decomposition method; then a parallel computing algorithm is developed to handle these sub-problems. Such combination increases the model's computational efficiency.
590 $a School code: 0183.
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Industrial engineering. $3 526216
650 4 $a Operations research. $3 547123
650 4 $a Transportation. $3 555912
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710 2 $a Purdue University. $b Aeronautics and Astronautics. $3 1035670
773 0 $t Masters Abstracts International $g 54-03(E).
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791 $a M.S.A.A.
792 $a 2014
793 $a English
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