Cargando…
A map matching algorithm based on modified hidden Markov model considering time series dependency over larger time span
With the advancement of geopositioning systems and mobile devices, much research with geopositioning data are currently ongoing. Along with the research applications, map matching is a technology that infers the actual position of error-prone trajectory data. It is a core preprocessing technique for...
Autores principales: | Song, Ha Yoon, Lee, Jae Ho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637971/ https://www.ncbi.nlm.nih.gov/pubmed/37954358 http://dx.doi.org/10.1016/j.heliyon.2023.e21368 |
Ejemplares similares
-
A Hidden Markov Ensemble Algorithm Design for Time Series Analysis
por: Lin, Ting, et al.
Publicado: (2022) -
Map-matching algorithm based on the junction decision domain and the hidden Markov model
por: Qi, Hui, et al.
Publicado: (2019) -
Hidden Markov models for time series: an introduction using R
por: Zucchini, Walter, et al.
Publicado: (2016) -
Clustering Multivariate Time Series Using Hidden Markov Models
por: Ghassempour, Shima, et al.
Publicado: (2014) -
Quantile hidden semi-Markov models for multivariate time series
por: Merlo, Luca, et al.
Publicado: (2022)