Plan Model for Airway Network Based on Bilevel Programming

Ming Zhang; Ting Ting Zhang; Song Chen Han

doi:10.4028/www.scientific.net/AMR.143-144.81

Paper Titles

RETRACTED: Application of Much-Touted Stochastic Algorithm in Investigating Active Networks and World Wide Web
p.62

RETRACTED: Application of Probabilistic and Interactive Information in Verifying Machine System and Kernels Based on Relational Modality
p.67

Particle-Size Effects on the Volatilization of Oil in Porous Media
p.72

Designing of SMS Gateway Based on 3G Technology
p.77

Plan Model for Airway Network Based on Bilevel Programming
p.81

Scale and Corrosion Inhibition of Synthesized Polymers from Waste Itaconic Acid
p.90

Wind-Induced Response Analysis of Guyed Mast Earplate Considering Welding Residual Stresses
p.95

Research on Decision of ANP-Based Enterprise Software Outsourcing Alliance
p.100

Study on the Preparation of Polytetraﬂuoroethylene Hollow Fiber Membranes and the Properties
p.106

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144Plan Model for Airway Network Based on Bilevel...

Plan Model for Airway Network Based on Bilevel Programming

Abstract:

Airway network planning has important value to ensure safe and decrease the flight cost. Consideration to economic benefits of the airlines and social benefits of the civil management department, airway network bilevel programming model and the constraints in the demand, traffic capacity, controller’s workload and traffic flow balance is proposed on the combination of road network planning with industrial characteristics of airway network planning. Based on genetic algorithm, the steps of airway network planning model is given. Finally, the model is verified by the sample's computation and analysis.

You might also be interested in these eBooks

Smart Materials and Intelligent Systems, SMIS2010

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Pages:

81-89

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.81

Citation:

Cite this paper

Online since:

October 2010

Authors:

Ming Zhang, Ting Ting Zhang, Song Chen Han

Keywords:

Air Traffic Management, Airway Network Planning, Bi-Level Programming, Genetic Algorithm (GA)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Hsu C I, Wen Y H, Reliability evaluation for airline network design in response to fluctuation in passenger demand [J]. Omega, 2002, 197-213.

DOI: 10.1016/s0305-0483(02)00027-0

Google Scholar

[2] Gao ZY, Wu JJ, Sun HJ. Solution algorithm for the bi-level discrete network design problem[J]. Transportation Research Part B 39 (2005): 479-495.

DOI: 10.1016/j.trb.2004.06.004

Google Scholar

[3] Chiou SW. An efficient algorithm for optimal design of area traffic control with network flows [J]. Applied Mathematical Modelling. 2009, 33 (6): 2710-2722.

DOI: 10.1016/j.apm.2008.08.009

Google Scholar

[4] Liu CZ, Fan YY, Ordonez F. A two-stage stochastic programming model for transportation network protection[J]. Computers & Operations Research, Volume 36, Issue 5, May 2009, Pages 1582-1590.

DOI: 10.1016/j.cor.2008.03.001

Google Scholar

[5] International civil aviation organization, Manual for air traffic service plan[S], Doc9426-AN/924, (2001).

Google Scholar

[6] ZHANG Ming. Method for Sector Optimum Partition [J]. Journal of Nanjing University of Aeronautics & Astronautics. 2004, Vol. 36(3): 308-312.

Google Scholar

[7] Zhang Ming, Han Songchen. Research review of air traffic controller's workload [J]. Chinese Journal of Ergonomics, 2008, 14(4): 61-64.

Google Scholar

[8] WANG SS, HUANG W, LU ZB. Deduction of Link Performance Function and Its Regression Analysis.

Google Scholar