Hybrid agent-based simulation for analyzing the National Airspace System

Seungman Lee, Amy Pritchett, David Goldsman

Research output: Contribution to journalConference articlepeer-review

22 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1029-1037
Number of pages9
JournalWinter Simulation Conference Proceedings
StatePublished - 2001
EventProceedings of the 2001 Winter Simulation Conference - Arlington, VA, United States
Duration: Dec 9 2001Dec 12 2001

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics


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