Development of an AIDA(Automatic Incident Detection Algorithm) for Uninterrupted Flow By Diminishing the Random Noise Effect of Traffic Detector Variables
Abstract:The data quality and measurements along consecutive detector stations can vary much even in the same traffic conditions due to variety in detector types, calibration and maintenance effort, field operation periods, minor geometric changes of roads and so on. These faulty situations often create 10% or more of inherent difference in important traffic measurements between two stations even under stable low flow condition. Low detection rates(DR) and high false alarm rates(FAR) therefore sets in among many popula… Show more
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