Aircraft Sequencing Method for Staggered Parallel Runways Approach

Abstract:

Most research about the approaching aircraft sequencing is for single runway approach or standard parallel runways approach. Little of research is for the case of staggered parallel runways approach. In this paper, a mathematical model of aircraft approach sequencing is established for the case of staggered parallel runways approach, and also this model is optimized with improved genetic algorithm. This model is simulated with the improved genetic algorithm both for cases of non-staggered runway approach and staggered runway approach, and the result shows that, comparing with the situation of non-staggered runway, the delay time in the case of staggered parallel runways approach decreases by 1.6 minutes, and the fitness increases by 0.0394. It proves that, in a certain extent, staggered parallel runways can reduce the minimum interval between arrival flights, thus increase the capacity of parallel runways.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 1303-1306
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.1303
• Online since: August 2014
• Authors: Wei Jun Pan, Xuan Wang*, Chen Yu Huang
• Keywords: Approach Aircraft Sequencing, Genetic Algorithm (GA), Simulation Model, Staggered Parallel Runways

References

[1] Weijun Pan, The Fundamentals of Air Traffic Management [M]. Chengdu: Southwest Jiaotong University Press, 1998: 153-157.

[2] Neuman F，Erzberger H．Analysis of sequencing and scheduling methods for arrival traffic[R]. NASA TM 102201, (1989).

[3] Erzberger H, Nedell W. Design of automated system for management of arrival traffic[R]. NASA TM 102201, (1989).

[4] Kai Li, Research of the Short Distance Parallel Runways Approach [J]. Nanjing: Nanjing Aeronautics and Astronautics University, (2005).

[5] Yunquan Hu, The fundamentals and applications of operation research [M]. Advanced Education Press, 2008: 133-143.

[6] Huanwen Tang, the method of applied optimization. Dalian: Dalian Science and Engineering University Press, 2004: 345-350.

[7] Minghua Hu, the theory and method of air traffic flow management [M]. Science Press. 2010: 129-133.

[8] Xiaohao Xu, Yuan Tao. The application of genetic algorithm in aircraft sequencing in terminal area [J]. Traffic and Transportation Engineering Journal, 2004, 4(3).