Framework for fusing traffic information from social and physical transportation data

Tremendous volumes of messages on social media platforms provide supplementary traffic information and encapsulate crowd wisdom for solving transportation problems. However, social media messages manifested in human languages are usually characterized with redundant, fuzzy and subjective features. H...

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Detalles Bibliográficos
Autores principales: Zheng, Zhihao, Wang, Chengcheng, Wang, Pu, Xiong, Yusha, Zhang, Fan, Lv, Yisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072031/
https://www.ncbi.nlm.nih.gov/pubmed/30071064
http://dx.doi.org/10.1371/journal.pone.0201531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072031/
https://www.ncbi.nlm.nih.gov/pubmed/30071064
http://dx.doi.org/10.1371/journal.pone.0201531

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