An Instance-Specific Parameter Tuning Approach Using Fuzzy Logic for a Post-Processing Topological Map-Matching Algorithm

Vista sencilla de ítem
dc.contributor.authorBlazquez, Carola
dc.contributor.authorRies, Jana
dc.contributor.authorMiranda, Pablo Andres
dc.contributor.authorLeon, Roberto Jesus
dc.date.accessioned2022-08-22T18:11:14Z
dc.date.available2022-08-22T18:11:14Z
dc.date.issued2018
dc.descriptionIndexación: Scopuses
dc.description.abstractMap Matching Algorithms (MMAs) are developed to solve spatial ambiguities that arise in the process of assigning GPS measurements onto a digital roadway network. Scarce systematic parameter tuning approaches exist in the literature for optimizing MMA performance. Thus, a novel framework is proposed for a systematic calibration of the parameters of a post-processing MMA. The calibration approach consists of an Instance-specific Parameter Tuning Strategy (IPTS) that employs Fuzzy Logic principles. The proposed fuzzy IPTS tool determines algorithm-specific parameter values based on instance-specific information a priori to the execution of the MMA. Finally, the proposed IPTS tool is able to adjust to two particular decision maker preferences on algorithm performance, namely solution quality and computational time. © 2009-2012 IEEE.es
dc.description.urichrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://pure.port.ac.uk/ws/files/11919726/RIES_2018_cright_IEEE_ITSM_An_Instance_Specific_Parameter_Tuning_Approach_Using_Fuzzy_Logic.pdf
dc.identifier.doi10.1109/MITS.2018.2867527
dc.identifier.issn1939-1390
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/23597
dc.language.isoenes
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectCalibrationes
dc.subjectComputer circuitses
dc.subjectDecision makinges
dc.subjectFuzzy logices
dc.titleAn Instance-Specific Parameter Tuning Approach Using Fuzzy Logic for a Post-Processing Topological Map-Matching Algorithmes
dc.typeArtículoes
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
RIES_2018_cright_IEEE_ITSM_An_Instance_Specific_Parameter_Tuning_Approach_Using_Fuzzy_Logic.pdf
Tamaño:
819.73 KB
Formato:
Adobe Portable Document Format
Descripción:
IEEE Intelligent Transportation Systems Magazine Volume 10, Issue 4, Pages 87 - 97Winter 2018 Article number 8463456
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
FIng - Artículos de Revista