Modeling and simulation of collaborative flight based on multi-agent technique

YE Bo-jia; HU Ming-hua; TIAN Yong

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YE Bo-jia, HU Ming-hua, TIAN Yong. Modeling and simulation of collaborative flight based on multi-agent technique[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 90-98.

Citation:

YE Bo-jia, HU Ming-hua, TIAN Yong. Modeling and simulation of collaborative flight based on multi-agent technique[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 90-98.

YE Bo-jia, HU Ming-hua, TIAN Yong. Modeling and simulation of collaborative flight based on multi-agent technique[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 90-98.

Citation:

YE Bo-jia, HU Ming-hua, TIAN Yong. Modeling and simulation of collaborative flight based on multi-agent technique[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 90-98.

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Modeling and simulation of collaborative flight based on multi-agent technique

YE Bo-jia^{1, 2
,},
HU Ming-hua^{1, 2
,},
TIAN Yong^{1, 3}

1.
School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China
2.
National Key Laboratory of Air Traffic Flow Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China
3.
Center for Air Transportation Systems Research, George Mason University, Fairfax 22030, Virginia, USA

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Author Bio:
YE Bo-jia(1983-), male, doctoral student, +86-25-52112039, yebojia2010@gmail.com

HU Ming-hua(1962-), male, professor, +86-25-84896650, minghuahu@263.net
Received Date: 2013-06-18
Publish Date: 2013-12-25

Abstract

Abstract

The flight risk of aircraft agent flying in air corridor was studied by using multi-agent modeling and simulation technique. According to the flight aim, main function and interior structure of aircraft agent in air corridor, the inference rule and collaborative state were analyzed, the interactive structure of collaborative flight was put out, and simulation experiment was carried out by using hybrid simulation method. Simulation result shows that when the maximum and minimum cruising speeds of large-sized aircraft are 880, 620 km·h^-1 respectively, the maximum and minimum cruising speeds of medium-sized aircraft are 790, 525 km·h^-1 respectively, and the maximum and minimum accelerations of the two aircrafts are 0.608 and-0.780 m·s^-2, the aircraft flight state in air corridor can be divided into four typical conditions. Under condition 1, aircraft speed is always 745.17 km·h^-1, and the total flight time is 708 s. Under condition 2, aircraft adjusts its speed according to the leading aircraft, the initial and maximum speeds are 658, 778 km·h^-1, and the total flight time is 648 s. Under condition 3, aircraft changes its flight line in air corridor in order to avoid flight conflict, and the total flight time is 744 s. Under condition 4, aircraft breaks away from air corridor for safety problem, and the total flight time is 66 s. The proposed model can meet the actual requirement.
- air transportation,
- collaborative flight,
- modeling and simulation,
- mulit-agent technique,
- air corridor

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References(24)

References

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