A Mesoscopic Traffic Data Assimilation Framework for Vehicle Density Estimation on Urban Traffic Networks Based on Particle Filters

Traffic conditions can be more accurately estimated using data assimilation techniques since these methods incorporate an imperfect traffic simulation model with the (partial) noisy measurement data. In this paper, we propose a data assimilation framework for vehicle density estimation on urban traf...

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Detalles Bibliográficos
Autores principales: Wang, Song, Xie, Xu, Ju, Rusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514842/
https://www.ncbi.nlm.nih.gov/pubmed/33267072
http://dx.doi.org/10.3390/e21040358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514842/
https://www.ncbi.nlm.nih.gov/pubmed/33267072
http://dx.doi.org/10.3390/e21040358

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