Mining vehicle classifications from the Columbus Metropolitan Freeway Management System : [summary].
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Mining vehicle classifications from the Columbus Metropolitan Freeway Management System : [summary].

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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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