Mining vehicle classifications from the Columbus Metropolitan Freeway Management System : [summary].
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2015-01-01
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Abstract:Vehicle classification data are used in many transportation applications, including: pavement design, ; environmental impact studies, traffic control, and traffic safety. Ohio has over 200 permanent count ; stations, supplemented by many more short-term count locations. Due to the high costs involved, the ; density of monitoring stations is very low given the lane miles that are covered. This study leveraged the ; deployed detectors in the Columbus Metropolitan Freeway Management System (CMFMS) to collect and ; analyze classification data from critical freeways where the Traffic Monitoring Section has not been able ; to collect much classification data in the past due to site limitations. ; The CMFMS was designed for real time traffic monitoring. It was deployed in an unconventional manner ; because it included an extensive fiber optic network, frontloading most of the communications costs, and ; rather than aggregating the data in the field, the detector stations sent all of the individual per-vehicle ; actuations (i.e., PVR data) to the traffic management center (TMC). The PVR data include the turn-on ; and turn-off time for every actuation at each detector at the given station. Our group has collected and ; archived all of the PVR data from the CMFMS for roughly a decade. The PVR data allows us to reprocess ; the original actuations retroactively. As described in the report, the research undertook extensive ; diagnostics and cleaning to extract the vehicle classification data from detectors originally deployed for ; traffic operations.
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Main Document Checksum:urn:sha-512:cc9ec0087797b4a497b03f958493526362a43529523b7c364286cdd50d9f3cf17b381731d18da0fdcc5d3d68a392046ac626bb6a7320388ba3ec62e8ad9e9404