DocumentCode :
2067754
Title :
Multidimensional traffic GPS data quality analysis using data cube model
Author :
Zhang, Chaogui ; Zheng, Zhiyong ; Zhang, Fuqiang ; Ren, Jiangtao
Author_Institution :
Sun Yat-sen Univ., Guangzhou, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
307
Lastpage :
310
Abstract :
In recent years, transport agencies collect more and more GPS data of probe vehicle, data mining on these immense amounts of traffic GPS data is necessary. However, since the GPS data are non-uniform and discontinuous in the network, the quality of these collected GPS data is unreliable and will be worse when there exists lots of noisy data. What´s more, if the researchers lack another type of traffic data such as loop sensors´ data for verification, the result of data mining will become unreliable. Therefore, we present an approach for multidimensional traffic GPS data quality analysis using data cube model. We propose data valid density, data ideality and an overall indicator to describe the quality of GPS data. The experiment results show that our approach can describe the data quality status of the network and help evaluate the reliability of traffic parameter estimations.
Keywords :
Global Positioning System; data analysis; data mining; formal verification; parameter estimation; traffic engineering computing; data cube model; data ideality; data mining; data quality status; data valid density; data verification; loop sensors data; multidimensional traffic GPS data quality analysis; noisy data; probe vehicle; traffic data; traffic parameter estimations reliability; transport agency; Data mining; Global Positioning System; Parameter estimation; Probes; Reliability; Roads; Vehicles; OLAP; data cube; data quality; reliability; roll-up; traffic GPS data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
Type :
conf
DOI :
10.1109/TMEE.2011.6199204
Filename :
6199204
Link To Document :
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