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• W1969133701 abstract "교통량은 교통망 계획, 도로 설계, 도로 관리 등에 직접적으로 활용되는 중요한 기초자료이다. 교통량은 고정식 교통량조사 장비를 설치하여 연속적인 자료를 수집하는 상시조사와 특정일을 조사하는 수시조사로 구분되어 조사되고 있다. 상시조사의 경우 조사 지점에 설치되어 있는 장비의 고장이나 오작동 등으로 인하여 교통량 자료의 결측이 발생하며, 이러한 결측을 보정하기 위하여 다양한 방법이 적용되어 왔다. 본 연구에서는 결측 발생일 전 후의 자료를 활용하는 응용 지수평활화법을 제안하였으며, 평가 결과 교통량 변동계수가 낮은 경우 보정의 정확성이 제고됨을 알 수 있었다. 게다가 지점의 교통량 변동성이 결측 보정의 정확성에 영향을 미치는 중요한 요인으로 작용한다는 것을 확인하였다. 따라서 교통량 결측 보정의 신뢰성을 높이기 위해서는 지점별-시기별 결측 보정 방법이 달리 적용되어야 할 것이다. Traffic volumes are the important basic data which are directly used for transportation network planning, highway design, highway management and so forth. They are collected by two types of collection methods, one of which is the continuous traffic counts and the other is the short duration traffic counts. The continuous traffic counts are conducted for 365 days a year using the permanent traffic counter and the short duration traffic counts are conducted for specific day(s). In case of the continuous traffic counts the missing of data occurs due to breakdown or malfunction of the counter from time to time. Thus, the diverse imputation methods have been developed and applied so far. In this study the applied exponential smoothing method, in which the data from the days before and after the missing day are used, is proposed and compared with other imputation methods. The comparison shows that the applied exponential smoothing method enhances the accuracy of imputation when the coefficient of traffic volume variation is low. In addition, it is verified that the variation of traffic volume at the site is an important factor for the accuracy of imputation. Therefore, it is necessary to apply different imputation methods depending upon site and time to raise the reliability of imputation for missing traffic values." @default.
• W1969133701 created "2016-06-24" @default.
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• W1969133701 date "2013-01-01" @default.
• W1969133701 modified "2023-10-18" @default.
• W1969133701 title "A Study on Imputing the Missing Values of Continuous Traffic Counts" @default.
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• W1969133701 doi "https://doi.org/10.12652/ksce.2013.33.5.2009" @default.
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