PROBEX : data exchanges for enhanced traffic reconstruction.
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2012-08-01
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Abstract:This report describes the results of a project that was initiated under the California-France cooperative ; research program “CalFrance”, aimed at identifying compatible research interests among researchers in ; California and France that could be capitalized upon for future larger research projects. In this way, the ; small investment of seed resources by the California and French governments could potentially leverage ; significantly larger resources for future work that would benefit both governments. ; The Californian and French members of the research teams exchanged technical documents and held seminars ; and more informal meetings during the project period. It became evident from the shared information, that ; although they were both working on probe vehicle data collection and analysis, they were starting from the ; opposite ends of the spectrum in probe data studies. The California probe work has concentrated on arterial ; applications where very detailed data are needed to support more intelligent traffic signal control strategies, ; where the latency times are critical. In contrast, the French probe work has concentrated on highway ; applications with low density data for use in traveler information systems, where the latency times are not nearly ; as critical. The French work has also concentrated on applications of high-powered mathematical methods for ; data analysis, while the California work has been based on simple but practical data aggregation techniques. ; Due to large differences in the technical approaches taken to date and in the underlying probe data sampling ; environments, the project partners did not find an immediate target project or technical topic for a larger and ; more integrated collaborative research project. They agreed that they should remain alert for future chances to ; work together on probe data analysis and for projects at the U.S. Department of Transportation (DOT) and ; European Commission levels that could support such work.
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Main Document Checksum:urn:sha256:93fc35fc8b5bc14eb3982d47e47fcd76b16a2eacd6e0d3f9137b7cc966dba5c1