Schedule System for Transport Aircraft Mission Simulation

Abstract:

In order to support the transport aircraft mission simulation for evaluating and optimizing the air transport plans, a schedule system is researched. Firstly, the method of the schedule system to handle the typical transport aircraft mission which can be divided into ground sections and flight sections is described. Moreover, the ground section is composed of several ground services such as fueling and on/off-loading. Secondly, the user interface which presents the schedule table by color bars is introduced. Next, the operating mode of the schedule system which is responsible for judging the time status and aircraft in simulation calculation is introduced. A sample case which includes eight aircraft flying in sequence is provided. The result of the sample case verified the schedule systems ability for promoting the mission simulation process.

• Periodical: Applied Mechanics and Materials (Volume 443)
• Pages: 3-6
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.443.3
• Online since: October 2013
• Authors: Jing Zang, Hu Liu, Xian Ping Ni
• Keywords: Mission Simulation, Schedule System, Transport Aircraft, Transport Plan

References

[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.

[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.

DOI: 10.1287/opre.1070.0503

[4] Yushun T., and Sengfa C.: Analyses on efficiency of air transport companies based on network DEA, Journal of Sooutheast University (Natural Science Edition), Vol. 41, No. 5, (2011), pp.1114-1118.

[5] Barry S., and Scott M.: Development of a real-time virtual airspace simulation capability for air traffic management research, Modeling and Simulation Technologies Conference and Exhibit, Vol. 1, AIAA 2002-4592, (2002), pp.1-6.

DOI: 10.2514/6.2002-4592

[6] Bilimoria K., Sridhar B., and Chatterji G., et al.: FACET: Future Air Traffic Management Concepts Evaluation Tool, Air Traffic Control Quarterly, Vol. 9, No. 1, (2001), pp.1-20.

DOI: 10.2514/atcq.9.1.1

[7] Nicole A., Vanessa L., and Ekaterina Y.: Benchmarking airports from a managerial perspective, Omega, Vol. 41, (2013), pp.442-458.

DOI: 10.1016/j.omega.2012.02.004

[8] Cheryl T., and Judith S.: Minimum data set development Air transport time-related terms, International Journal of Medical Informatics, Vol. 65, (2002), pp.121-133.

DOI: 10.1016/s1386-5056(02)00008-4

[9] Viken S., and Brooks F.: Demonstration of Four Operating Capabilities to Enable a Small Aircraft Transportation System, Digital Avionics Systems Conference, Vol. 2, United States, (2005), pp.1-16.

DOI: 10.1109/dasc.2005.1563422

[10] Jacob B.: A cluster analysis of long range air transport pathways and associated pollutant concentrations within the UK, Atmospheric Environment, Vol. 44, (2010), pp.563-571.

DOI: 10.1016/j.atmosenv.2009.10.030

[11] Zhen T.: The Introduction of FAA NAS Strategy Simulation System, Air Traffic Management, No. 10, (2007), pp.16-19.