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Cheng, Peng; Geng, Rui (2010)
Publisher: InTech
Languages: English
Types: Part of book or chapter of book
This chapter investigates the models and algorithms for implementing the concept of Dynamic Airspace Management. Three models are discussed. First two models are about how to use or adjust air route dynamically in order to speed up air traffic flow and reduce delay. The third model gives a way to dynamically generate the optimal sector configuration for an air traffic control center to both balance the controller’s workload and save control resources. The first model, called the Dynamic Air Route Open-Close Problem, is the first step toward the realization of Dynamic Airspace Management. It designs a pricing mechanism for civil users and military users once they need to use each other’s resources and decides what routes will be open and for how long the routes keep open for a certain user during a given time period. The second model, called the Dynamic Air Route Adjustment Problem, provides a new approach to optimize air traffic flow with the option to adjust or reconstruct the air route
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Bai, Y. (2006). Future national airspace system plan of u.s.a (in chinese), Air Traffic Management 8: 37-39.
    • Bertsimas, D. & Patterson, S. S. (1998). The air traffic flow management problem with enroute capacities, Operations Research 46(3): 406-422.
    • Bertsimas, D. & Patterson, S. S. (2000). The traffic flow management rerouting problem in air traffic control: a dynamic network flow approach, Transportation Science 34(3): 239- 255.
    • Cheng, P., Cui, D. & Wu, C. (2001). Optimization based model for short-term air traffic flow management (in chinese), Journal of Tsinghua University 41(4/5): 163-166.
    • Dubai, A. (2008). The costs of delays and cancellations - analysis and means for cost reductions.
    • URL: http://www.agifors.org/document.go?documentId=1579
    • Eurocontrol (2008). Cost of delay. URL: http://www.eurocontrol.int/ecosoc/gallery/content/public/documents/CBAdelay.pdf
    • Gianazza, D. & Alliot, J.-M. (2002). Optimization of air traffic control sector configurations using tree search methods and genetic algorithms, Digital Avionics Systems Conference, 2002. Proceedings. The 21st, Vol. 1, pp. 2A5-1-2A5-8 vol.1.
    • Han, S.-C. & Zhang, M. (2004). The optimization method of the sector partition based on metamorphic voronoi polygon, Chinese Journal of Aeronautics 17(1): 7-12.
    • Lulli, G. & Odoni, A. R. (2007). The european air traffic flow management problem, Transportation Science 41(4): 431-443.
    • Ma, Z., Cui, D. & Cheng, P. (2004). Dynamic network flow model for short-term air traffic flow management, IEEE Transactions on System, Man and Cybernetics, Part A: Systems and Humans 34(3): 351-358.
    • Meckiff, C., Chone, R. & Nicolaon, J.-P. (1998). The tactical load smoother for multi-sector planning, 2nd USA/Europe Air Traffic Management R&D Seminar, Orlando.
    • Richetta, O. & Odoni, A. R. (1993). Solving optimally the static ground-holding policy problem in air traffic control, Transportation Science 27(3): 228-238.
    • Richetta, O. & Odoni, A. R. (1994). Dynamic solution to the ground-holding problem in air traffic control, Transportation Science 28(3): 167-185.
    • Schaefer, D., Meckiff, C., Magill, A., Pirard, B. & Aligne, F. (2001). Air traffic complexity as a key concept for multi-sector planning, Digital Avionics Systems, 2001. DASC. The 20th Conference, Vol. 2, pp. 7E5/1-7E5/12 vol.2.
    • Trandac, H., Baptiste, P. & Duong, V. (2003). Optimized sectorization of airspace with constraints, 5th USA/Europe Air Traffic Management R&D Seminar, Budapest, Hungary.
    • Vossen, T. & Michael, B. (2006). Optimization and mediated bartering models for ground delay programs, Naval Research Logistics 53(1): 75-90.
    • Wang, L., Zhang, Z. & Yang, X. (2004). The model and algorithm of automatically sectoring airspace (in chinese), Aeronautical Computer Technique 34(3): 46-49.
    • ISBN 978-953-307-103-9
    • Hard cover, 172 pages
    • Published online 17, August, 2010
    • Published in print edition August, 2010
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