Identifying chronic errors at freeway loop detectors- splashover, pulse breakup, and sensitivity settings.
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2011-03-01
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Alternative Title:Diagnosing chronic errors in freeway loop detectors from existing field hardware.
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Abstract:Traffic Management applications such as ramp metering, incident detection, travel time prediction, and vehicle
classification greatly depend on the accuracy of data collected from inductive loop detectors, but these data are
prone to various errors caused by hardware and software problems. The impact of these errors will propagate to
the subsequent measurements of flow, occupancy, and speed and can end up affecting traffic control decisions
and traveler information. In an effort to improve the quality of loop detector data, this research developed
algorithms to automatically identify two types of detector errors that are difficult to diagnose in the field:
splashover, the false detection in one lane of a vehicle from an adjacent lane; and pulse breakup, when a single
vehicle produces two or more pulses in its lane of travel. While the focus of this study is loop detectors, the
present work is likely applicable to emerging detectors seeking to replace loop detectors using wayside mounted
sensors. Most of these detectors emulate the operation of loop detectors, so, while the mechanism of
splashover and pulse breakup differs across the different detection technologies, its manifestation should be
similar in the vehicle actuations.
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