단일 루프 검지기를 이용한 차종 분류 알고리즘 개발

서지정보

ㆍ발행기관 : 대한교통학회 ㆍ수록지정보 : 대한교통학회지 / 14권 / 1호
ㆍ저자명 : 이승환, 조한선, 최기주

목차

ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 고찰
Ⅲ. 차종 분류 알고리즘의 개발
Ⅳ. 분석절차 및 실험결과
Ⅴ. 결론
참고문헌

영어 초록

This paper presents a heuristic algorithm for classifying vehicles using a single loop detector. The data used for the development of the algorithm are the frequency variation of a vehicle sensored from the circle-shaped loop detectors which are normally buried beneath the expressway.
The pre-processing of data is required for the development of the algorithm that actually consists of two parts. One is both normalization of occupancy time and that with frequency variation, the other is finding of an adaptable number of sample size for each vehicle category and calculation of average value of normalized frequencies along with occupancy time that will be stored for comparison. Then, detected values are compared with those stored data to locate the most fitted pattern.
After the normalization process, we developed some frameworks for comparison schemes, The fitted scales used were 10 and 15 frames in occupancy time (X-axis) and 10 and 15 frames in frequency variation (Y-axis). A combination of X-Y 10-15 frame turned out to be the most efficient scale of normalization producing 96 percent correct classification rate for six types of vehicle.

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