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Accuracy Estimation of Video Image Detector Considering Heteroscedasticity  

Lee, Cheong-Won (서울시립대학교 교통공학과)
Song, Yeong-Hwa (서울시립대학교 교통공학과)
Publication Information
Journal of Korean Society of Transportation / v.25, no.2, 2007 , pp. 7-15 More about this Journal
Abstract
The accuracy of a Video Image Detector (VID) is gradually reduced due to various environmental and mechanical factors. However, there has been no systematic research about the decrease of VID accuracy. To maintain a proper level of VID accuracy for advanced traffic management, a regular VID calibration process needs to be introduced. However, the calibration cannot be performed frequently because of the cost. In this study, the researchers collected field data for accuracy estimation and inferred an accuracy decreasing function by using regression and considering the heteroscedasticity problem. Using the invented data collection equipment which was used for checking adaptability, some data in the field were collected and analyzed. Although the data were limited, the results are promising. More data need to be investigated in the future and this study will help to maintain the data quality for broad utilization of the data in ITS centers.
Keywords
Video Image Detector; Heteroscedasticity; Accuracy; MAPE; ITS;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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