Road Traffic Prediction with Spatio-Temporal Correlations

The spatio-temporal relationship is an essential aspect of road traffic prediction. The fundamental observation is that the traffic condition at a link is affected by the immediate past traffic conditions of some number of its neighboring links. A time lag function defines how traffic flows are related in the temporal dimension. In parallel, the spatial structure defines which neighboring links have an effect on the traffic characteristics of other links, as a function of road type, speed, etc. This paper presents a new method which provides a complete description of the most important spatio-temporal interactions in a road network while maintaining the estimatability of the model. It improves upon existing methods proposed in the area and provides high accuracy on both urban and expressway roads.

By: Wanli Min; Laura Wynter; Yasuo Amemiya

Published in: RC24275 in 2007

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