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


This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.


Questions about this service can be mailed to .