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논문 기본 정보

자료유형
학술저널
저자정보
Kim, Do Hoon (The Incheon Institute) Kim, Eung Cheol (Incheon National University)
저널정보
한국측량학회 한국측량학회지 한국측량학회지 제39권 제5호
발행연도
2021.10
수록면
253 - 263 (11page)

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초록· 키워드

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Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.

목차

Abstract
1. Introduction
2. Literature review
3. Methodology
4. Study data
5. Results
6. Conclusions
References

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