DocumentCode :
2121135
Title :
Hybrid agent-based simulation for analyzing the National Airspace System
Author :
Lee, Seungman ; Pritchett, Amy ; Goldsman, David
Author_Institution :
Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1029
Abstract :
Hybrid agent-based simulation is required to provide a mechanism for analyzing large-scale complex systems, such as the National Airspace System (NAS). The dynamic behavior of many complex systems is, in general, hybrid in nature and can be best described by a combination of discrete-event and continuous-time models, and their interactions. Correspondingly, hybrid agent-based simulation capable of incorporating different types of models provides an accurate means of evaluating the reliability and performance of complex systems. However, in order to serve as a design and analysis tool, a number of issues must be addressed. This paper outlines issues in the development of hybrid agent-based simulation architectures capable of providing a scaleable mechanism for simulating the NAS. In particular, an object-oriented approach is described. In addition, methods of improving computational efficiency of updating the simulation are described and compared
Keywords :
air traffic control; discrete event simulation; object-oriented programming; software agents; National Airspace System; continuous-time models; discrete-event models; hybrid agent-based simulation; large-scale complex systems; object-oriented approach; Aerospace control; Aircraft navigation; Analytical models; Communication system control; Computational modeling; Discrete event simulation; Large-scale systems; Object oriented modeling; Predictive models; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
Type :
conf
DOI :
10.1109/WSC.2001.977410
Filename :
977410
Link To Document :
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