Increasing accuracy of vehicle detection from conventional vehicle detectors - counts, speeds, classification, and travel time.
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2014-09-01
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Abstract:Vehicle classification is an important traffic parameter for transportation planning and infrastructure
management. Length-based vehicle classification from dual loop detectors is among the lowest cost
technologies commonly used for collecting these data. Like many vehicle classification technologies, the
dual loop approach works well in free flow traffic. Effective vehicle lengths are measured from the
quotient of the detector dwell time and vehicle traversal time between the paired loops. This approach
implicitly assumes that vehicle acceleration is negligible, but unfortunately at low speeds this
assumption is invalid and length-based classification performance degrades in congestion.
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