Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-10T16:51:36.583Z Has data issue: false hasContentIssue false
  • English
  • Français

Optimisation of runway orientations for three-runway configurations

Published online by Cambridge University Press:  30 August 2016

H. Oktal  and
N. Yıldırım
H. Oktal*
Affiliation:
Faculty of Aeronautics and Astronautics, Anadolu University, Eskisehir, Turkey
N. Yıldırım
Affiliation:
Faculty of Aeronautics and Astronautics, Anadolu University, Eskisehir, Turkey
*
hoktal@anadolu.edu.tr
Get access Rights & Permissions [Opens in a new window]

Abstract

Determination of runway orientation is a prime factor affecting the layout of airport facilities. This paper presents a new computer model called TORO (Tool for Optimum Runway Orientation) which is developed with an approach different from that of the Federal Aviation Administration's (FAA) wind rose method. All models previously developed are based on this traditional method. In the new model, each wind observation is evaluated individually in the computations without grouping them. Thus, the errors arising from the partial coverage problem and the FAA's assumption related to distribution of winds in each cell of wind rose are eliminated. The new model is written in CSharp (C#) programming language and the wind data tables are prepared in Access format. The accuracy, reliability and flexibility of the model are tested with three numerical examples. The results demonstrate that the TORO model may be a valuable tool for airport planners and designers.

Type
Research Article
Information
The Aeronautical Journal , Volume 120 , Issue 1233 , November 2016 , pp. 1693 - 1709
Copyright
Copyright © Royal Aeronautical Society 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Mousa, R.M. Enhancement of WNDROS program for optimization of runway orientation, 27th International Air Transportation Conference, 2002, ASCE, Orlando, Florida, US, pp 1–11.Google Scholar
2. Ashford, N., Mumayiz, S.A. and Wright, P. H. Airport Engineering: Planning, Design, and Development of 21st-Century Airports, 4th ed., 2011, Wiley-Interscience Publications, New York, New York, US.Google Scholar
3. Horonjeff, R., McKelvey, F., Sproule, W. and Young, S. Planning and Design of Airports, 5th ed., 2010, McGraw-Hill, New York, New York, US.Google Scholar
4. FAA. (1989). Airport design. FAA Advisory Circular AC 150/5300-13 (Change 17, 2011), Federal Aviation Administration, Washington, DC, US.Google Scholar
5. Change, S.W. Crosswind-based optimization of multiple runway orientations, J Advanced Transportation, 2015, 49, 1–9.Google Scholar
6. Mousa, R.M., and Mumayiz, S.A. Optimization of runway orientation, J Transportation Engineering, 2000, 126:3, 228–236.Google Scholar
7. Mousa, R.M. Integrated model for optimizing orientation of two runway configuration, J Transportation Engineering, 2001, 127:4, 342–351.Google Scholar
8. Jia, X., Chung, D., Huang, J., Petrilli, M. and The, L. ARO: Geographic information system-based system for optimization airport runway orientation. J Transportation Engineering, 2004, 130:5, 555–559.Google Scholar
9. Sarsam, S.I. and Ateia, H.A. Development of a computer program for airport runway location, orientation, and length design in Iraq, ASCE Transportation and Development Institute Congress, 2011, Chicago, Illinois, US, 291–300.Google Scholar
10. Chang, S. Orientations optimization for two runway configurations, Proceedings of the Eastern Asia Society for Transportation Studies, 2013, Vol. 9, Taiwan, pp 1–10.Google Scholar
11. Bellasio, R. Analysis of wind data for airport runway design, J Airline and Airport Management, 2014, 4, (2), pp 97–116.Google Scholar
12. Laat, J.P. and Roling, P.C. Runway location and orientation suitability analysis, 14th AIAA Aviation Technology, Integration and Operations Conference, 2014, Atlanta, Georgia, US, pp 1–9.Google Scholar
13. Oktal, H. and Yildirim, N. New model for the optimization of runway orientation, J Transportation Engineering, 2014, 140, (3), pp 1–7.Google Scholar