dor_id: 45595

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336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/353/350

100.1.#.a: Blazquez, C.; Miranda, P.; Ponce, A.

524.#.#.a: Blazquez, C., et al. (2012). Performance of a New Enhanced Topological Decision-Rule Map-Matching Algorithm for Transportation Applications. Journal of Applied Research and Technology; Vol. 10 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45595

245.1.0.a: Performance of a New Enhanced Topological Decision-Rule Map-Matching Algorithm for Transportation Applications

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2012

264.#.1.c: 2012-12-01

653.#.#.a: spatial data; global positioning systems; intelligent transportation systems; map-matching algorithm

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884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/353

001.#.#.#: 074.oai:ojs2.localhost:article/353

041.#.7.h: eng

520.3.#.a: Map-matching problems arise in numerous transportation-related applications when spatial data is collected usinginaccurate GPS technology and integrated with a flawed digital roadway map in a GIS environment. This paperpresents a new enhanced post-processing topological decision-rule map-matching algorithm in order to addressrelevant special cases that occur in the spatial mismatch resolution. The proposed map-matching algorithm includessimple algorithmic improvements dynamic buffer that varies its size to snap GPS data points to at least one roadwaycenterline; a comparison between vehicle heading measurements and associated roadway centerline direction; and anew design of the sequence of steps in the algorithm architecture. The original and new versions of the algorithmwere tested on different spatial data qualities collected in Canada and United States. Although both versionssatisfactorily resolve complex spatial ambiguities, the comparative and statistical analysis indicates that the newalgorithm with the simple algorithmic improvements outperformed the original version of the map-matching algorithm.

773.1.#.t: Journal of Applied Research and Technology; Vol. 10 Núm. 6

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.16656423.2012.10.6.353

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

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Artículo

Performance of a New Enhanced Topological Decision-Rule Map-Matching Algorithm for Transportation Applications

Blazquez, C.; Miranda, P.; Ponce, A.

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Blazquez, C., et al. (2012). Performance of a New Enhanced Topological Decision-Rule Map-Matching Algorithm for Transportation Applications. Journal of Applied Research and Technology; Vol. 10 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45595

Descripción del recurso

Autor(es)
Blazquez, C.; Miranda, P.; Ponce, A.
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Performance of a New Enhanced Topological Decision-Rule Map-Matching Algorithm for Transportation Applications
Fecha
2012-12-01
Resumen
Map-matching problems arise in numerous transportation-related applications when spatial data is collected usinginaccurate GPS technology and integrated with a flawed digital roadway map in a GIS environment. This paperpresents a new enhanced post-processing topological decision-rule map-matching algorithm in order to addressrelevant special cases that occur in the spatial mismatch resolution. The proposed map-matching algorithm includessimple algorithmic improvements dynamic buffer that varies its size to snap GPS data points to at least one roadwaycenterline; a comparison between vehicle heading measurements and associated roadway centerline direction; and anew design of the sequence of steps in the algorithm architecture. The original and new versions of the algorithmwere tested on different spatial data qualities collected in Canada and United States. Although both versionssatisfactorily resolve complex spatial ambiguities, the comparative and statistical analysis indicates that the newalgorithm with the simple algorithmic improvements outperformed the original version of the map-matching algorithm.
Tema
spatial data; global positioning systems; intelligent transportation systems; map-matching algorithm
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces