NDLI: An optimal routing paradigm for flexible flights

Content Provider	IEEE Xplore Digital Library
Author	Peng Wei Taehoon Kim Landry, S. Dengfeng Sun DeLaurentis, D.
Copyright Year	2012
Description	Author affiliation: Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA (Peng Wei; Dengfeng Sun; DeLaurentis, D.) \|\| Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA (Taehoon Kim; Landry, S.)
Abstract	This paper introduces the concepts of metroplex and flexible flight. We focus on the routing part of a complete flexible flight operation. The authors establish a network data structure based on which the optimal routing algorithm is developed for the flexible flights which fly from their original airports to destination metroplexes. Moreover, the metroplex routing algorithm is performed under the dynamic en route traffic congestion constraint, which is rarely studied in literature. We also propose an integrated model which combines the routing and scheduling according to the practical feasible air traffic control procedure. Besides the optimal metroplex routing and the scheduling, we also brief several other functional blocks in the integrated model and illustrate the data flow inside the entire system. Finally we present the simulation results which verify the positive effect of the optimal metroplex routing algorithm and show that the total delay reduction by the integrated system is considerable.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	1708
Ending Page	1713
File Size	733010
Page Count	6
File Format	PDF
ISBN	9781457710957
ISSN	07431619
e-ISBN	9781457710964
e-ISBN	9781467321020
DOI	10.1109/ACC.2012.6314713
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Airports Routing Heuristic algorithms Data structures Atmospheric modeling Delay Data models
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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