Risk Simulation Analysis of Runway Incursions Based on Multi Agents

Authors

Baojun Huang, 1. Air Traffic Management Research Base , Civil Aviation University of China, Tianjin 300300, China; ;
Xiaodan Fang, 1. Air Traffic Management Research Base , Civil Aviation University of China, Tianjin 300300, China; ;2. Tianjin Air Traffic Management Operational Planning and Safety Technology Laboratory, Civil Aviation University of China, Tianjin 300300, China;
Jiening Wang, 1. Air Traffic Management Research Base , Civil Aviation University of China, Tianjin 300300, China; ;

Abstract

Abstract: Nowadays, runway incursions are important problems affecting flight safety in airport surface operation. According to this problem, a new method was proposed for the risk analysis of runway incursion by using multi agent modeling theory, which established a risk analysis agent model of runway incursion. Pointing at typical scenarios for runway incursion incidents, LEADSTO (Language and Environment for Analysis of Dynamics by SimulaTiOn) language was applied to realize the accident simulation by temporal logic. Simulation results show that specification for pilot or controller behavior and alertness can avoid accidents occurrence. The proposed method can simulate dynamic system, which has certain advantages in the temporal and complex level in comparison with traditional method.

Recommended Citation

Huang, Baojun; Fang, Xiaodan; and Wang, Jiening (2020) "Risk Simulation Analysis of Runway Incursions Based on Multi Agents," Journal of System Simulation: Vol. 29: Iss. 4, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201704028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss4/28

First Page

910

Revised Date

2015-09-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201704028

Last Page

917

CLC

U8;TP391.9

Recommended Citation

Huang Baojun, Fang Xiaodan, Wang Jiening. Risk Simulation Analysis of Runway Incursions Based on Multi Agents[J]. Journal of System Simulation, 2017, 29(4): 910-917.

DOI

10.16182/j.issn1004731x.joss.201704028