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The Journal of The Korea Institute of Intelligent Transport Systems Vol.8 No.1 pp.9-21
고속도로 루프검지기를 이용한 차종분류 기법 평가
Evaluation of Technical Feasibility for Vehicle Classification Using Inductive Loop Detectors on Freeways
Abstract
This study presents a useful heuristic algorithm to classify vehicle classes using vehicle length information, which is extracted from inductive loop vehicle signatures. A high-speed scanning equipment was used to extract more detailed change of inductance magnitude for individual vehicles. Vehicle detection time and individual vehicle speeds were used to derive vehicle length information that is an input of the proposed algorithm. The spatial and temporal transferability tests were further conducted to evaluate algorithm. The spatial and temporal transferability tests were further conducted to evaluate algorithm performance more systematically. It is expected that the proposed method would be useful for obtaining vehicle classification information from wide-spread existing loop infrastructure.
