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dc.contributor.authorTSATCHA, Dieudonné
dc.contributor.author
 hal.structure.identifier
CLARAMUNT, Christophe
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorSAUX, Eric
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2014
dc.date.submitted2014
dc.identifier.issn1365-8816
dc.identifier.urihttp://hdl.handle.net/10985/8707
dc.description.abstractRoute planning is an important problem for many real-time applications in open and complex environments. The maritime domain is a relevant example of such environments where dynamic phenomena and navigation constraints generate difficult route finding problems. This paper develops a spatial data structure that supports the search for an optimal route between two locations while minimizing a cost function. Although various search algorithms have been proposed so far (e.g. breadth-first search, bidirectional breadth-first search, Dijkstra’s algorithm, A*, etc.), this approach provides a bidirectional dynamic routing algorithm which is based on hexagonal meshes and an iterative deepening A* (IDA*) algorithm, and a front to front strategy using a dynamic graph that facilitates data accessibility. The whole approach is applied to the context of maritime navigation, taking into account navigation hazards and restricted areas. The algorithm developed searches for optimal routes while minimizing distance and computational time.
dc.language.isoen
dc.publisherTaylor & Francis
dc.rightsPre-print
dc.subjectMaritime routing
dc.subjectComputational geometry
dc.subjectArtificial intelligence
dc.subjectGeographic Information Science
dc.subjectNavigation aids
dc.titleA bidirectional path-finding algorithm and data structure for maritime routing
dc.identifier.doi10.1080/13658816.2014.887087
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halInformatique: Intelligence artificielle
dc.subject.halInformatique: Modélisation et simulation
ensam.audienceInternationale
ensam.page1355-1377
ensam.journalInternational Journal of Geographical Information Science
ensam.volume28
ensam.issue7
hal.identifierhal-01073178
hal.version1
hal.statusaccept
dc.identifier.eissn1365-8824


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