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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1029-1037 |
| Number of pages | 9 |
| Journal | Winter Simulation Conference Proceedings |
| Volume | 2 |
| State | Published - Dec 1 2001 |
| Event | Proceedings of the 2001 Winter Simulation Conference - Arlington, VA, United States Duration: Dec 9 2001 → Dec 12 2001 |
All Science Journal Classification (ASJC) codes
- Software
- Modeling and Simulation
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety
- Applied Mathematics