Browsing by Author "Lin, Chun-Shuo"
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Item type:Item, Exploring GPS Data for Traffic Status Estimation(2009) ;Chang, Yu-Ming ;Wei, Ling-Yin ;Lin, Chun-Shuo ;Jung, Chen-HenChen, I-HungTraffic 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.Item type:Item, Exploring Spatio-Temporal Features for Traffic Estimation on Road Networks(2009) ;Wei, Ling-Yin ;Peng, Wen-Chih ;Lin, Chun-Shuo ;Jung, Chen-Hen資訊工程學系In this paper, given a query that indicates a query road segment and a query tune, we intend to accurately estimate the traffic status (i.e., the driving speed) on the query road segment at the query time from traffic databases. Note that a traffic behavior in the same tune usually reflects similar patterns (referring to the temporal feature); and nearby road segments have the similar traffic behaviors (referring to the spatial feature). By exploring the temporal and spatial features, more GPS data points are retrieved. In light of these GPS data retrieved, we exploit the weighted moving average approach to estimate traffic status on road networks. Experimental results show the effectiveness of our proposed algorithm.