DocumentCode :
2143947
Title :
Exploring GPS Data for Traffic Status Estimation
Author :
Chang, Yu-Ming ; Wei, Ling-Yin ; Lin, Chun-Shuo ; Jung, Chen-Hen ; Chen, I-Hung ; Peng, Wen-Chih
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
fYear :
2009
fDate :
18-20 May 2009
Firstpage :
369
Lastpage :
370
Abstract :
Traffic status plays an important role in navigation systems. To estimate traffic status, expensive sensors are deployed, which is not cost efficient. In view of the growth of GPS navigation services, in this paper, we propose two algorithms to estimate traffic status of road segments in our CarWeb platform. To evaluate our proposed algorithms, we implement the proposed algorithms in our CarWeb platform that is used to collect GPS data points from cars. Extensive experiments are conducted on real datasets and experimental results indicate that our algorithms can provide desirable predictions of traffic status.
Keywords :
Global Positioning System; traffic information systems; CarWeb platform; GPS data; datasets; navigation systems; road segments; traffic status estimation; Clustering algorithms; Computer science; Conference management; Data mining; Global Positioning System; Middleware; Mobile computing; Navigation; Roads; Telecommunication traffic; Traffic estimation; data mining; road networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-4153-2
Electronic_ISBN :
978-0-7695-3650-7
Type :
conf
DOI :
10.1109/MDM.2009.56
Filename :
5088963
Link To Document :
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