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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Bibliographic Details
Main Authors: Lianjie Zhou, Nengcheng Chen, Sai Yuan, Zeqiang Chen
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/11/1813