Conflict Avoidance: 0-1 linear models for Conflict Detection & Resolution

dc.contributor.authorAlonso-Ayuso, Antonio
dc.contributor.authorEscudero, Laureano F
dc.contributor.authorOlaso, Pablo
dc.contributor.authorPizarro, Celeste
dc.date.accessioned2014-11-11T14:37:14Z
dc.date.available2014-11-11T14:37:14Z
dc.date.issued2013
dc.description.abstractThe Conflict Detection and Resolution Problem for Air Traffic Flow Man- agement consists of deciding the best strategy for airborne aircraft so that there is guarantee that no conflict takes place, i.e., all aircraft maintain the minimum safety distance at every time instant. Two integer linear optimization models for conflict avoidance between any number of aircraft in the airspace are proposed, the first being a pure 0-1 linear which avoids conflicts by means of altitude changes, and the second a mixed 0-1 linear whose strategy is based on altitude and speed changes. Several ob- jective functions are established. Due to the small elapsed time that is required for solving both problems, the approach can be used in real time by using state-of-the-art mixed integer linear optimization software.es
dc.description.departamentoEstadística e Investigación Operativa
dc.identifier.doi10.1007/s11750-011-0224-6es
dc.identifier.issn1134-5764
dc.identifier.urihttp://hdl.handle.net/10115/12608
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofseriesTop;24
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectAir Traffic Flowes
dc.subjectCollision Avoidancees
dc.subject.unesco1207 Investigación Operativaes
dc.titleConflict Avoidance: 0-1 linear models for Conflict Detection & Resolutiones
dc.typeinfo:eu-repo/semantics/articlees

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Name:
CDR_TOP.pdf
Size:
238.17 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Name:
license.txt
Size:
3.06 KB
Format:
Item-specific license agreed upon to submission
Description: