International Journal of Aeronautical and Space Sciences

  • 제14권3호
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  • Pages.264-271
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  • 2013
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  • 2093-274X(pISSN)
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  • 2093-2480(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
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Object-Oriented Mission Modeling for Multiple Transport Aircraft

  • Zang, Jing (School of Aeronautic Science and Engineering, Beihang University) ;
  • Liu, Hu (School of Aeronautic Science and Engineering, Beihang University) ;
  • Liu, Tianping (BUAA Research Institute Co., Ltd, Beihang University) ;
  • Ni, Xianping (School of Aeronautic Science and Engineering, Beihang University)
  • 투고 : 2013.05.13
  • 심사 : 2013.08.21
  • 발행 : 2013.09.30
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초록

A method of multiple transport-aircraft mission modeling is proposed in order to improve the efficiency of evaluating and optimizing pre-mission plans. To deal with the challenge of multiple transport-aircraft missions, the object-oriented modeling method is utilized. The elements of the mission are decomposed into objects and businesses, And the major mission objects and their important properties are summarized. A complex mission can be broken down into basic business modules such as the ground section and flight section. The business models of loading and fueling services in the ground section are described. The business model of the flight section is composed of an air route and flight profile with the flight equation and the fuel consumption model. The logical relationship of objects and business modules is introduced. The architecture of the simulation system, which includes a database, computation module, graphical user interface (GUI) module, and a result analysis module, is established. A sample case that includes two different plans is provided to verify the model's ability to achieve multi-aircraft composite mission simulation.

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참고문헌

  1. Earl, W. III, Jing, H., and James, V., "The Integrated Air Transportation System Evaluation Tool", NASA CR-2002-211961, 2002.
  2. Ulrich, D., Stefan, F., and Simon, S., "A New Approach for Air Cargo Network Planning", Transportation Science, Vol. 43, No. 3, 2009, pp. 370-380. https://doi.org/10.1287/trsc.1090.0282
  3. Cynthia, B., Amr, F., and Manoj, L., "Airline Fleet Assignment with Enhanced Revenue Modeling", Operations Research, Vol. 57, No. 1, 2009, pp. 231-244. https://doi.org/10.1287/opre.1070.0503
  4. Yushun, T., and Sengfa, C., "Analyses on efficiency of air transport companies based on network DEA", Journal of Southeast University (Natural Science Edition), Vol. 41, No. 5, 2011, pp. 1114-1118.
  5. Muharrem, M., William, C., and Nusawardhana, "System-of-Systems Inspired Aircraft Sizing and Airline Resource Allocation via Decomposition", Journal of Aircraft, Vol. 44, No. 4, 2007, pp. 1222-1235. https://doi.org/10.2514/1.26333
  6. Navindran, D., and William, C., "Concurrent Aircraft Design and Airline Network Design Incorporating Passenger Demand Models", Aviation Technology, Integration, and Operations Conference (ATIO), AIAA 2009-6971, South Carolina, 2009, pp. 1-10.
  7. Barry, S. and Scott, M., "Development of a realtime virtual airspace simulation capability for air traffic management research", AIAA Modeling and Simulation Technologies Conference and Exhibit, AIAA 2002-4592, Monterey, California, 2002, pp. 1-6.
  8. Bilimoria, K., Sridhar, B., Chatterji, G., Kapil, S., and Shon, G., "FACET: Future Air Traffic Management Concepts Evaluation Tool", Air Traffic Control Quarterly, Vol. 9, No. 1, 2001, pp. 1-20. https://doi.org/10.2514/atcq.9.1.1
  9. Nicole, A., Vanessa, L., and Ekaterina, Y., "Benchmarking airports from a managerial perspective", Omega, Vol. 41, No. 2, 2013, pp. 442-458. https://doi.org/10.1016/j.omega.2012.02.004
  10. Jie, X., and Chen Z., "Airport Gate Assignment with Airplane Taxiing Cost Analysis", Journal of Transportation Systems Engineering and Information Technology, Vol. 10, No. 3, 2010, pp. 165-169.
  11. Viken, S., and Brooks, F., "Demonstration of Four Operating Capabilities to Enable a Small Aircraft Transportation System", 24th Digital Avionics Systems Conference, Washington, DC, United States, Vol. 2, 2005, pp. 1-16.
  12. Jacob, B., "A cluster analysis of long range air transport pathways and associated pollutant concentrations within the UK", Atmospheric Environment, Vol. 44, No. 4, 2010, pp. 563-571. https://doi.org/10.1016/j.atmosenv.2009.10.030
  13. Zhencai, T., "The Introduction of FAA NAS Strategy Simulation System", Air Traffic Management, Vol. 13, No. 10, 2007, pp. 16-19. https://doi.org/10.1016/j.jairtraman.2006.11.005
  14. Office of Aviation Research, "Air Carrier Operations System Model", U.S. Federal Aviation Administration, United States, 2001.
  15. Yuqing, P., Yehua, S., and Guiying, Z., "Objectoriented Data Model of the Municipal Transportation", Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, Guangzhou, China, Vol. 7144, 2008, pp.1-9.
  16. Shaopei, C., Jianjun, T., C., Ray, C., Claramunt, and Qinqin S., "An integrated GIS-based data model for multimodal urban public transportation analysis and management", Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, Guangzhou, China, Vol. 7144, 2008, pp.1-12.
  17. Rodrigo, P., Luis, V., Fernando, F., and Nolberto, O., "Object oriented platform for an integrated analysis of energy and transportation networks", IEEE Transactions on Power Systems, Vol. 18, No. 3, 2003, pp. 1062-1069. https://doi.org/10.1109/TPWRS.2003.814890
  18. Autthasith, A., and Apinetr, U., "A flexible intelligent transportation system architecture model with object oriented methodology and UML", 9th International Symposium on Communications and Information Technology, Icheon, Korea, 2009, pp. 741-746.
  19. Manuel, R., and Shikha, N., "An object-oriented framework for simulating full truckload transportation networks", 2007 Winter Simulation Conference, Washington DC, United States, 2009, pp. 1869-1877.