Research on GRNN Model for Short-Term Air Traffic Flow Management

Author:

Wang Zhan1,Wu Shu2

Affiliation:

1. Nanjing University of Aeronautics and Astronautics

2. Nanjing University

Abstract

For the exigent requirement of short-term air traffic flow optimized dispatching, this paper analyzes dynamic behavior and network flow algorithm of short-term air traffic flow management, presents evacuation based ST-TFMP dynamic network flow algorithm, builds ST-TFMP GRNN model. The model is verified by simulation experiment, the results show it is feasible. The model improves precision of short-term air traffic flow management, saves time and cost, and it also actualizes the intelligence short-term air traffic flow management.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. O doni A R. The flow management problem in air traffic control[A]. O doni A R, Szego G. Flow Control of Congested Networks[C]. Berlin: Spring-Verlag, 1987. 269-298.

2. Stock-Patterson S. Dynamic Flow Management Problems in Air Transportation[D]. Cambridge: MIT, (1997).

3. V ranas P. Optimal slot allocation for european air traffic flow management[J]. Air Traffic Control, 1997, 4(4): 249-280.

4. Cheng peng, Cui de-guang, Wu-Cheng journal of tsinghua university [J] 2000, Vol 40, No. 11.

5. Cai zi-xing, Xu guang-you. Artificial Intelligence: Principles and Applications. (2004).

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