期刊名称:Journal of Data Analysis and Information Processing
印刷版ISSN:2327-7211
电子版ISSN:2327-7203
出版年度:2014
卷号:02
期号:04
页码:106-116
DOI:10.4236/jdaip.2014.24013
语种:English
出版社:Scientific Research Publishing
摘要:The accurate measurement of a vehicle’s velocity is an essential feature in adaptive vehicle activated sign systems. Since the velocities of the vehicles are acquired from a continuous wave Doppler radar, the data collection becomes challenging. Data accuracy is sensitive to the calibration of the radar on the road. However, clear methodologies for in-field calibration have not been carefully established. The signs are often installed by subjective judgment which results in measurement errors. This paper develops a calibration method based on mining the data collected and matching individual vehicles travelling between two radars. The data was cleaned and prepared in two ways: cleaning and reconstructing. The results showed that the proposed correction factor derived from the cleaned data corresponded well with the experimental factor done on site. In addition, this proposed factor showed superior performance to the one derived from the reconstructed data.