Exploring Spatio-Temporal Features for Traffic Estimation on Road Networks

Abstract

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.