KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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The Outlier-Filtering Algorithm for National Highway Continuous Traffic Counts Data

일반국도 상시조사 교통량 자료의 이상치 판정 알고리즘 개발

  • Received : 2012.06.01
  • Accepted : 2012.12.13
  • Published : 2013.03.30
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Abstract

In this study the quantitative outlier-filtering algorithm has been developed using the smoothing method based on the day-of-the-week traffic volume variation pattern and then, in order to test the effectiveness of the algorithm, it has been used to identify outliers from the traffic volume data collected at 14 continuous traffic counts sites on the national highways in the year 2010. The test results are satisfactory since the filtering rate is 98.2% for normal days and the mis-filtering rate is 8.0% for abnormal days. Therefore, the algorithm will be able to be used for roughly-but-quickly filtering outliers from the collected traffic volume data.

본 연구에서는 요일별 교통량 변동 패턴 기반 평활화법을 활용하여 정량적 이상치 판정 알고리즘을 개발하였다. 또한 개발된 알고리즘을 활용하여 2010년 일반국도 상시조사 지점 중 14개 지점의 교통량 자료에 대한 이상치 필터링을 수행하여 알고리즘의 적합성 여부를 평가하였다. 그 결과 정상일 필터링율은 98.2%, 이상일 중 오필터링율은 8.0%로 평가되었다. 따라서 본 연구에서 개발된 알고리즘은 수집된 교통량 자료의 1차적인 이상치 필터링에 충분히 적용 가능할 것이다.

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References

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