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Support of aircraft taxiing operations on the apron

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EN
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EN
The paper presents an approach to this type of problem. Was submitted the general approach to construct the model and presented selected aspects of the application AIRS enabling decision making support on minimizing taxiing aircraft at take-off and landing operations. Taxiing operations of aircraft on the apron are the binding part of planning and air traffic control phase including the sequencing of arrivals and departures, planning of air traffic in the immediate vicinity of the airport and issues of passenger traffic in the terminals and ground handling of aircraft. The airport is presented as a model which was implemented in the form of a computer application AIRS. Application AIRS is suported to determine the optimal taxiways on schedule. The procedure for decision support in carrying out the operation of aircraft consists of: data on the types of aircraft, data staging aircraft, data about the time of use of the types of aircraft, technical and organizational parameters of the process taxiing, the structure of the apron to the process of taxiing, routing algorithms of landing aircraft, routing algorithms of taking off aircraft, algorithms for taxiing in other cases.
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  • Air Force Institute of Technology Księcia Bolesława Street 6, 01-494 Warsaw, Poland tel.:+48 22 2799658, fax: +48 22 6851300
  • Air Force Institute of Technology Księcia Bolesława Street 6, 01-494 Warsaw, Poland tel.:+48 22 2799658, fax: +48 22 6851300
Bibliografia
  • [1] Anagnostakis, I., Clarke, J.-P., Runway operations planning: A two-stage solution methodology, in conference materials of 36th Annual Hawaii International Conference on System Sciences, Los Alamitos, USA 2003.
  • [2] Atkin, J. A., Burke, E. K., Greenwood, J. S., Reeson, D., On-line decision support for take-off runway scheduling with uncertain taxi times at London Heathrow airport, Journal of Scheduling, Vol. 11, No. 5, pp. 323-346, 2008.
  • [3] Atkin, J. A. D., Burke, E. K., Greenwood, J. S., Reeson, D., Hybrid metaheuristics to aid runway scheduling at London Heathrow airport, Transportation Science, Vol. 41, No. 1, pp. 90-106, 2007.
  • [4] Bianco, L., DellOlmo, P., Giordani, S., Scheduling models for air traffic control in terminal areas, Journal of Scheduling, Vol. 9, pp. 223-253, 2006.
  • [5] Bohme, D., Brucherseifer, R., Christoffels, L., Coordinated arrival departure management, in conference materials of 7th USA/Europe Air Traffic Management R&D Seminar, Barcelona, Spain 2007.
  • [6] Clare, G., Richards, A., Sharma, S., Receding Horizon, Iterative Optimization of Taxiway Routing and Runway Scheduling, AIAA Guidance, Navigation, and Control Conference, Chicago 2009.
  • [7] Daganzo, C. F., Sheffi, Y., On Stochastic Models of Traffic Assignment, Transportation Science, 11, 1997.
  • [8] Deau, R., Gotteland, J.-B., Durand, N., Airport surface management and runways scheduling, in conference materials of 8th USA/Europe Air Traffic Management R&D Seminar, Napa, USA 2009.
  • [9] Dorndorf, U., Drexl, A., Nikulin, Y., Pesch, E., Flight gate scheduling: State-of-the-art and recent developments, Omega, Vol. 35, No. 3, pp. 326-334, 2007.
  • [10] Garcia, J., Berlanga, A., Molina, J. M., Casar, J. R., Optimization of airport ground operations integrating genetic and dynamic flow management algorithms, AI Communications, Vol. 18, No. 2, pp. 143-164, 2005.
  • [11] Gołda, P., Metoda wspomagania decyzji w operacjach kołowania samolotów, Rozprawa doktorska, ITWL, Warszawa 2013.
  • [12] Gotteland, J.-B., Durand, N., Genetic algorithms applied to airport ground traffic optimization, in conference materials of Congress on Evolutionary Computation, Vol. 1, Canberra, Australia 2003.
  • [13] Gotteland, J.-B., Durand, N., Alliot, J.-M., Handling CFMU slots in busy airports, in conference materials of 5th USA/Europe Air Traffic Management R&D Seminar, Budepest, Hungary 2003.
  • [14] Herrero, J. G., Berlanga, A., Molina, J. M., Casar, J. R., Methods for operations planning in airport decision support systems, Applied Intelligence, Vol. 22, No. 3, pp. 183-206, 2005.
  • [15] Leese, R. A., Craig, A., Ketzscer, R., Noble, S. D., Parrott, K., Preater, J., Wilson, R. E., Wood, D. A., The sequencing of aircraft departures, Report from 40th European Study Group with Industry, Tech. Rep., 2001.
  • [16] Manerowski, J., Modelling of aircraft dynamics using manoeuvrability characteristics. Recent research and design progress in aeronautical engineering and its influence on education, Biul. 6, PW MEL , pp. 242-246, 1997.
  • [17] Mirchandani, P., Syal, R., Lucas, D., Traffic assignment using iterated route-based simulation, TRB 2003 Annual Meeting CD-ROM, 2002.
  • [18] Pesic, B., Durand, N., Alliot, J.-M., Aircraft ground traffic optimisation using a genetic algorithm, in conference materials of Genetic and Evolutionary Computation Conference, San Francisco, USA 2001.
  • [19] Rathinam, S., Montoya, J., Jung, Y., An optimization model for reducing aircraft taxi times at the Dallas Fort Worth International Airport, in conference materials of 26th International Congress of the Aeronautical Sciences, 2008.
  • [20] Smeltink, J. W., Soomer, M. J., de Waal, P. R., van der Mei, R. D., An optimisation model for airport taxi scheduling, in conference materials of INFORMS Annual Meeting, Denver, USA 2004.
  • [21] Smeltink, J. W., Soomer, M. J., de Waal, P. R., van der Mei, R. D., An optimisation model for airport taxi scheduling, in conference materials of INFORMS Annual Meeting, Denver, USA 2004.
  • [22] www.airnet.cwc.net.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f4ed95df-99d0-4cd5-b3da-82ab638b2fee
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