An Efficient Method of Sharing Mass Spatio-Temporal Trajectory Data Based on Cloudera Impala for Traffic Distribution Mapping in an Urban City

The efficient sharing of spatio-temporal trajectory data is important to understand traffic congestion in mass data. However, the data volumes of bus networks in urban cities are growing rapidly, reaching daily volumes of one hundred million datapoints. Accessing and retrieving mass spatio-temporal...

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Detalles Bibliográficos
Autores principales: Zhou, Lianjie, Chen, Nengcheng, Yuan, Sai, Chen, Zeqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134472/
https://www.ncbi.nlm.nih.gov/pubmed/27801869
http://dx.doi.org/10.3390/s16111813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134472/
https://www.ncbi.nlm.nih.gov/pubmed/27801869
http://dx.doi.org/10.3390/s16111813

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