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Constraint programming for air traffic management: a survey1

In memory of Pascal Brisset

Published online by Cambridge University Press:  26 July 2012

Cyril Allignol ,
Nicolas Barnier ,
Pierre Flener  and
Justin Pearson
Cyril Allignol*
Affiliation:
École Nationale de l'Aviation Civile, 7 Avenue Édouard Belin, F—31055 Toulouse, France; e-mail: allignol@recherche.enac.fr, barnier@recherche.enac.fr
Nicolas Barnier*
Affiliation:
École Nationale de l'Aviation Civile, 7 Avenue Édouard Belin, F—31055 Toulouse, France; e-mail: allignol@recherche.enac.fr, barnier@recherche.enac.fr
Pierre Flener*
Affiliation:
Department of Information Technology, Uppsala University, Box 337, SE—751 05 Uppsala, Sweden; e-mail: Pierre.Flener@it.uu.se, Justin.Pearson@it.uu.se
Justin Pearson*
Affiliation:
Department of Information Technology, Uppsala University, Box 337, SE—751 05 Uppsala, Sweden; e-mail: Pierre.Flener@it.uu.se, Justin.Pearson@it.uu.se
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Abstract

Air traffic management (ATM) under its current paradigm is reaching its structural limits considering the continuously growing demand. The need for a decrease in traffic workload opens numerous problems for optimization, from capacity balancing to conflict solving, using many different degrees of freedom, such as re-routing, flight-level changes, or ground-holding schemes. These problems are usually of a large dimension (there are 30 000 daily flights in Europe in the year 2012) and highly combinatorial, hence challenging for current problem solving technologies. We give brief tutorials on ATM and constraint programming (CP), and survey the literature on deploying CP technology for modelling and solving combinatorial problems that occur in an ATM context.

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The Knowledge Engineering Review , Volume 27 , Special Issue 3: Constraint Programming for Air Traffic Management , 26 July 2012 , pp. 361 - 392
Copyright
Copyright © Cambridge University Press 2012

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