The Jet:Wise Model of National Air Space System Evolution

SIMULATION

Volumn 80, Issue 1, 2004, Pages 45-58

  Niedringhaus, William P ^a  

^a MITRE CORPORATION   (United States)

Author keywords

agent based modeling; Airlines; evolution; profits; validation

Indexed keywords

AEROSPACE INDUSTRY; AIR TRAFFIC CONTROL; AIRPORTS; COMPUTER SIMULATION; MANAGEMENT INFORMATION SYSTEMS;

AIRLINE INDUSTRY; NATIONAL AIRSPACE SYSTEM;

AIR TRANSPORTATION;

EID: 1842474629     PISSN: 00375497     EISSN: 17413133     Source Type: Journal    
DOI: 10.1177/0037549704042029     Document Type: Article

References (17)

1. [1] Niedringhaus, W. 2001. A simulation tool to analyze the future interaction of airlines and the U.S. National Airspace System. In Handbook of airline strategy: Challenges and solutions, regulatory issues, and public policy, edited by G. F. Butler and M. R. Keller. New York: Aviation Week/McGraw-Hill.
2. [2] Niedringhaus, W. 2000. An agent-based model of the airline industry. In International Conference on Complex Systems, sponsored by the New England Complex Systems Institute, Nashua, NH.
3. [3] Niedringhaus, W., F. Wanke, F. Wieland, and L. Wojcik. 2002. Modeling the NAS: A grand challenge for modeling and simulation. In First International Conference on Grand Challenges for Modeling and Simulation, January, San Antonio, TX.
4. [4] Hargrove-Gray, B. 1994. SIMMOD. In Simulation Conference 20, CACI, Inc., Washington, DC.
5. [5] CACI Products Company. 1991. SIMMOD release 1.2 user's manual. Washington, DC: CACI, Inc.
6. [6] Preston Aviation Solutions, Inc. 2002. TAAM solutions. Marietta, GA: Preston Aviation Solutions, Inc.
7. [7] Long, D., D. A. Lee, J. P. Johnson, E. M. Gaier, and P. F. Kostiuk. 1998. Modeling air traffic management technologies with a queueing network of the National Airspace System. NASA Contractor Rep. 208988, Washington, DC.
8. [8] Long, D., V. Stouffer-Coston, P.F. Kostuk, R. Kula, and B. Fernandez. 2001. Integrating LMINET with TAAM and SIMMOD: A feasibility study. NASA Tech. Rep. CR-2001-210875, Langley Research Center.
9. [9] Wieland, F. 1998. Parallel simulation for aviation applications. In Proceedings of the 1998 Winter Simulation Conference, edited by D. J. Medeiros, E. F. Watson, J. S. Carson, and M. S. Manivannan, 1191-1198. Washington, DC: IEEE.
10. [10] Corning, Peter A. 2002. The re-emergence of “emergence”: A venerable concept in search of a theory. Complexity 7 (6).
11. [11] Mitchell, Melanie. 1998. Introduction to genetic algorithms. Cambridge, MA: MIT Press.
12. [12] Congress on Evolutionary Computation. 2000. Sponsored by IEEE Neural Networks Council, the Evolutionary Programming Society, and the Institution of Electrical Engineers, San Diego, CA. Available: http://pcgipseca.cee.hw.ac.uk/cec2000/main.html
13. [13] Casti, J. 1997. Would-be worlds. New York: John Wiley.
14. [14] Gaylord, R. J., and L. J. D’Andria. 1998. Simulating Society: A Mathematica toolkit for modeling socioeconomic behavior. New York: Springer-Verlag.
15. [15] Tesfatsion, L. 2002. Agent-based computational economics: Growing economies from the bottom up. Artificial Life 8 (1).
16. [16] Epstein, J. M., and R. Axtell. 1996. Growing artificial societies: Social science from the bottom up. Cambridge, MA: MIT Press.
17. [17] Jenkins, D., ed. 1995. Handbook of airline economics. New York: McGraw-Hill.