Abstract
Departure Management is responsible for creating a departure sequence of flights and for deciding which aircraft will takeoff firstly in scenarios of cancellation or delay. In many cases, this activity depends only on the experience of air traffic controllers who will empirically decide the departure sequence. This work presents two computational models to address the departure sequencing problem in airports according to Collaborative Decision Making. The first model is GeDMAN, a departure management system that uses Genetic Algorithm. The second one named as CoDMAN is based on the negotiation among the agents (aircraft) in a dynamic scenario using Game Theory. Both approaches are tested with real flight data from Brasilia International Airport. The simulation results show that the developed systems have the capability to manage the departure sequence automatically and reduce the total flight delay efficiently.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rosa, L.P., Ferreira, D.M., Cruciol, Leonardo L.B.V., Weigang, L., Deng, X.J.: Genetic algorithms for management of taxi scheduling. In: The 2013 International Conference on Artificial Intelligence, 2013, Las Vegas. CSREA Press (2013)
FAA: Federal aviation administration (2013). http://www.faa.gov/
Anagnostakis, I., Clarke, J.P.: Runway operations planning: a two-stage solution methodology. In: Proceedings of 36th Annual Hawaii International Conference on System Sciences (2003)
Inframerica: Operational Movements - Brasilia International Airport (2013). http://www.bsb.aero/
DECEA Departamento de controle do espaço aéreo - Department of airspace control (2013). http://www.decea.gov.br
EUROCONTROL. Airport CDM Implementation The Manual for Collaborative Decision Making. Technical report (2010)
Vossen, T., Ball, M.: Optimization and mediated bartering models for ground delay programs. Naval Res. Logistics 53(1), 75–90 (2006)
Kenneth, D.J., William, M.S., Diana, F.G.: Using Genetic Algorithms for Concept Learning. Springer, Heidelberg (1994)
Reeves, C.R., Rowe, J.E.: Genetic Algorithms - Principles and Perspectives: A Guide to GA Theory. Operations Research/Computer Science Interfaces Series. Springer, Heidelberg (2003)
Bugarin, M.S., Sotomayor, M.A.O.: Lições de teoria dos jogos, São Paulo, Brazil (2007)
Ribeiro, V.F., Weigang, L.: Collaborative decision making with game theory for slot allocation and departure sequencing in airports. In: 17th Air Transport Research Society (ATRS) World Conference, 2013, Bergamo, The Proceedings of 17th ATRS World Conference, Canada: ATRS (2013)
Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)
Dib, M.V.P., Weigang, L., Melo, A.C.M.A.: Approach of balancing of the negotiation among agents in traffic synchronization. IEEE Lat. Am. Trans. 5, 338–345 (2007)
Weigang, L., Dib, M.V.P., Alves, D.P., Crespo, A.F.: Intelligent computing methods in air traffic flow management. Transp. Res. Part C Emerg. Technol. 18, 781–793 (2010)
Schummer, J., Vohra, R.V.: Assignment of arrival SLOTS. Am. Econ. J. Microeconomics 5(2), 164–185 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Ferreira, D.M., Rosa, L.P., Ribeiro, V.F., de Barros Vidal, F., Weigang, L. (2014). Genetic Algorithms and Game Theory for Airport Departure Decision Making: GeDMAN and CoDMAN. In: Uden, L., Fuenzaliza Oshee, D., Ting, IH., Liberona, D. (eds) Knowledge Management in Organizations. KMO 2014. Lecture Notes in Business Information Processing, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-08618-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-08618-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08617-0
Online ISBN: 978-3-319-08618-7
eBook Packages: Computer ScienceComputer Science (R0)