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Adaptive Signal Timing Comparison Between the InSync and QuicTrac Adaptive Signal Systems Installed in Colorado

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  • Abstract:
    The FHWA’s Every Day Counts (EDC) initiative identifies adaptive signal control as a tool for local agencies to deploy

    innovation. In an effort to achieve the goals of the EDC initiative, the traffic sections of the Colorado Department of

    Transportation (CDOT), in Region 2 and 4 and the City of Greeley implemented adaptive traffic signal control systems on

    10th Street (US 34 Business) in Greeley and US 24 in Woodland Park. This new technology uses real-time data collected

    by system detectors to optimize signal timing for each intersection in the corridor. The use of real-time data means that

    signal timing along the corridor changes to accommodate the traffic patterns at any given time of the day.

    There are many different adaptive traffic signal control systems of which two, InSync and QuicTrac, were selected for

    implementation in Colorado. The InSync adaptive signal control system, produced and supplied by Rhythm Engineering,

    was installed in Greeley on 10th Street and the QuicTrac adaptive signal control system, produced and supplied by McCain,

    Inc., was installed on US 24 in Woodland Park. The evaluation of the performance of these systems on their distinct

    corridors was documented in separate reports and provided to the agencies and stakeholders. This report focuses on a more

    direct comparison between the two systems including costs for installation, maintenance, and expected benefits on a per

    intersection basis. The study is not intended to recommend a preferred system, but present the results for each system and

    provide data allowing decision makers to make an informed decision when selecting an adaptive system.

    Implementation

    Proper application of adaptive signal control can reduce congestion, smooth flows, improve travel times, maximize the

    benefits of signal timing, and potentially reduce crashes.

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    urn:sha256:d0c91a7aab762aee62e1e550b1c5d776990db9f12a5f2e374d50e1736ae7dec8
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File Language:
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