Hybrid-system simulation for national airspace system safety analysis

Analysis of large, complex systems requires simulations of hybrid-system dynamics, i.e., dynamics which are best described by a combination of continuous-time and discrete-event models, and their interactions. To serve as valuable research tools, such simulations need also be computationally efficient, readily modifiable, and open to a wide range of component modules. This paper describes the development of a simulation architecture meeting these criteria. The issues with its development are described conceptually, and its application to the task of safety analysis of the national airspace system is discussed. In particular, an object-oriented approach to hybrid-system simulation is detailed, and computationally efficient methods of updating the simulation are described and compared.

[1]  Paul K. Davis,et al.  Experiments In Multiresolution Modeling (MRM) , 1998 .

[2]  Edward J. Beltrami,et al.  Mathematics for Dynamic Modeling , 1987 .

[3]  Dirk L. Kettenis An algorithm for parallel combined continuous and discrete-event simulation , 1997, Simul. Pract. Theory.

[4]  A. Richard Newton,et al.  Mixed-mode simulation and analog multilevel simulation , 1994, The Kluwer international series in engineering and computer science.

[5]  Frank L. Lewis,et al.  Aircraft Control and Simulation , 1992 .

[6]  David Arthur Fahrland,et al.  Combined discrete event continuous systems simulation , 1970 .

[7]  King Jim Hee,et al.  An airport passenger terminal simulator: A planning and design tool , 1998, Simul. Pract. Theory.

[8]  Hee King Jim,et al.  An airport passenger terminal simulator: A planning and design tool , 1998 .

[9]  William Bezdek,et al.  Model reuse for software development and testing: The application of common interfaces to support va , 1997 .

[10]  Christopher D. Wickens,et al.  Flight to the Future: Human Factors in Air Traffic Control Edited by Christopher D. Wickens, Anne S. Mavor, & James P. McGee 1997, 368 pages, $44.95. Washington, DC: National Academy Press ISBN 0-309-05637-3 , 1997 .

[11]  Brian Mirtich,et al.  Timewarp rigid body simulation , 2000, SIGGRAPH.

[12]  Ralf Wieting Hybrid high-level nets , 1996, Winter Simulation Conference.

[13]  David R. Jefferson,et al.  Virtual time , 1985, ICPP.

[14]  Linda Weiser Friedman,et al.  The Simulation Metamodel , 1995 .

[15]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[16]  Eric N Johnson Multi-agent flight simulation with robust situation generation dc by Eric N. Johnson. , 1995 .

[17]  Amedeo R. Odoni,et al.  Existing and Required Modeling Capabilities for Evaluating ATM Systems and Concepts , 1997 .

[18]  Amy R. Pritchett,et al.  Software architecture for a reconfigurable flight simulator. , 2000 .

[19]  François E. Cellier,et al.  Combined continuous/discrete simulation: applications, techniques and tools , 1986, WSC '86.