4. Important developments to the RFS architecture and agent models that we have identified in this research include:
Enabling RFS agents and other models (such as MIDAS) interacting with RFS agents to remain synchronized at the same simulated time, e.g., controlled by a single master clock.
Enabling the networking agent to access information directly from agents other than vehicles
Developing a library of automatic measurement and statistical reporting agents
Upgrading the interfaces to allow dynamic updating of environmental agents (e.g., weather and CAT), which are currently assumed in RFS to be static
Developing a user interface to enable analysts other than RFS authors and programmers to construct and execute application system models out of existing component agent models.
5. Important developments to MIDAS that we have identified in this research include:
Enabling MIDAS and other models (such as RFS agents) interacting with MIDAS to be continually synchronized in simulated time, e.g., controlled by a single master clock
Enabling the MIDAS updateable world representation to be initialized dynamically as the simulation progresses for human operators that enter the simulation conditionally or otherwise at times later than the start (e.g., pilots of aircraft entering a sector)
Removing the current constraint on the number of human operators that can practically be simulated
Generalizing the code so that models of new human operators and of operator tasks and procedures can be created through data entry rather than code changes
Developing a user interface to enable analysts other than MIDAS authors and programmers to set up and execute human performance simulations.
Undertaking these recommended tests and developments will build credibility for and confidence in the application of human-centered, agent-based, fast-time simulation for aviation safety analysis.
REFERENCES
Abkin, M.H., J.C. Bobick, R.J. Hansman, T.G. Reynolds, M.M. Hansen, G.D. Gosling, W.F. Baumgardner, K.M. Corker, and B.F. Gore, Development of Fast-Time Simulation Techniques to Model Safety Issues in the National Airspace System: CY00 Final Report, ATAC Corporation, December 2000.
Bobick, J.C., M.H. Abkin, R.J. Hansman, T.G. Reynolds, M.M. Hansen, G.D. Gosling, and G. Blackwelder, Development of Fast-Time Simulation Techniques to Model Safety Issues in the National Airspace System: Phase I Final Report, ATAC Corporation, December 1999.
Computer Technology Associates, Inc., FAA Air Traffic Control Operations Concepts, Volume I: ATC Background and Analysis Methodology, Englewood, Colorado, 1987.
Computer Technology Associates, Inc., FAA Air Traffic Control Operations Concepts, Volume VI: ARTCC/HOST En Route Controllers, Englewood, Colorado, 1988.
Corker, K.M., and G.M. Pisanich, “Analysis and Modeling of Flight Crew Performance in Automated Air Traffic Management,” in Analysis, Design and Evaluation of Man-Machine Systems 1995, Proceedings of the 6th IFAC/IFIP/IFORS/IEA Symposium, Cambridge, Massachusetts, June 27-29, 1995.
Corker, Kevin M., and Barry R. Smith, “An Architecture and Model for Cognitive Engineering Simulation Analysis: Application to Advanced Aviation Automation,” in 9th Conference on Computing in Aerospace Technical Papers, American Institute of Aeronautics and Astronautics, San Diego, California, October 1993.
Corker, Kevin M., “Cognitive Models & Control: Human & System Dynamics in Advanced Airspace Operations,” in N. Sarter and R. Amalberti (eds.), Cognitive Engineering in the Aviation Domain, Lawrence Earlbaum Associates, New Jersey, 2000.
Defense Modeling and Simulation Office (DMSO), High Level Architecture, Worldwide Web home page with links to additional information, http://www.dmso.mil/projects/hla, Accessed November 20, 2000.
Flight Safety Foundation, Air Carrier Voluntary Flight Operational Quality Assurance Program, Arlington, Virginia, 1992
中國航空網 m.k6050.com
航空翻譯 www.aviation.cn
本文鏈接地址：DEVELOPMENT OF FAST-TIME SIMULATION TECHNIQUES(40)
