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The air traffic flow management problem: An integer optimization approach

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Publication date30/06/2008
Host publicationInteger Programming and Combinatorial Optimization - 13th International Conference, IPCO 2008, Proceedings
Pages34-46
Number of pages13
<mark>Original language</mark>English
Event13th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2008 - Bertinoro, Italy
Duration: 26/05/200828/05/2008

Conference

Conference13th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2008
Country/TerritoryItaly
CityBertinoro
Period26/05/0828/05/08

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5035 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Conference13th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2008
Country/TerritoryItaly
CityBertinoro
Period26/05/0828/05/08

Abstract

In this paper, we present a new Integer Program (IP) for the Air Traffic Flow Management (ATFM) problem. The model we propose provides a complete representation of all the phases of each flights, i.e., the phase of taking-off, of cruising and of landing; suggesting all the actions to be implemented to achieve the goal of safe, efficient, and expeditious aircraft movement. The distinctive feature of the model is that it allows rerouting decisions. These decisions are formulated by means of "local" conditions, which allow us to represent such decisions in a very compact way by only introducing new constraints. Moreover, to strengthen the polyhedral structure of the underlying relaxation, we also present three classes of valid inequalities. We report short computational times (less than 15 minutes) on instances of the size of the US air traffic control system that make it realistic that our approach can be used as the main engine of managing air traffic in the US.