Hybrid agent-based simulation for analyzing the national airspace system

S. Lee, A. Pritchett, D. Goldsman

Research output: Contribution to conferencePaperpeer-review


Hybrid agent-based simulation is required to provide a mechanism for analyzing large-scale complex systems, such as the National Airspace System (NAS), more accurately and completely. The dynamic behaviour of many large-Scale complex systems is, in general, hybrid in nature and thus 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, such as continuous-time and discrete-event models, provides an accurate means of evaluating the reliability and performance of large, complex systems. However, in order to serve as a valuable design and analysis tool, a number of important 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 to hybrid agent-based simulation is described. In addition, methods of improving computational efficiency of updating the simulation are described and compared.

Original languageEnglish (US)
StatePublished - 2001
Event20th Digital Avionics Systems Conference Proceedings - Daytona Beach, FL, United States
Duration: Oct 14 2001Oct 18 2001


Other20th Digital Avionics Systems Conference Proceedings
Country/TerritoryUnited States
CityDaytona Beach, FL

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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