Exploring Spatio-Temporal Features for Traffic Estimation on Road Networks

Authors:
Ling-Yin Wei;Wen-Chih Peng;Chun-Shuo Lin;Chen-Hen Jung
Affiliations:
Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC;Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC;Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC;Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC
Venue:
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Year:
2009

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Abstract

In this paper, given a query that indicates a query road segment and a query time, 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 time 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.