Travel Time Estimation from Multiple Data Sources
Document typeConference lecture
PublisherUniversity of California, Berkeley
Rights accessOpen Access
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Travel time is the best indicator of the level of service in a road link, and perhaps the most important variable for measuring congestion. This paper presents a method for estimating accurate travel times in toll highways using data from multiple sources, as loop detectors and toll tickets. The proposed methodology consists of a data fusion technique using different travel time estimations in order to obtain a more accurate fused value with less error than individual estimations by itself. Finally results obtained in the application of the methodology to the AP-7 highway, near Barcelona in Spain, are presented.
CitationSoriguera, F.; Abeijón, D.; Rosas, D.; Thorson, L.; Robuste, F. Travel Time Estimation from Multiple Data Sources. A: Proceedings of the 11th World Conference on Transport Research. Berkeley, CA: University of California, 2007.