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