2014
DOI: 10.3141/2443-11
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Reidentification of Trucks on Basis of Axle-Spacing Measurements to Facilitate Analysis of Weigh-in-Motion Accuracy

Abstract: This study examined weigh-in-motion (WIM) data from two states to evaluate the performance of an improved reidentification methodology that had been used to match vehicles between WIM stations. The improvement allowed the reidentification model to be trained without the use of ground truth data (i.e., true vehicle matches). The training data set was instead developed by following a three-step manual investigation of the characteristics of assumed vehicle matches between two WIM stations. The trained reidentifi… Show more

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Cited by 2 publications
(1 citation statement)
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“…To evaluate the accuracy of the individual WIM station, other established metrics such as Class 9 A1W and Class 9 Axle 2 to 3 spacing (A23S) could be investigated (8). This research builds on previous research by the authors and is the first known effort to evaluate the methods used to analyze differential calibration accuracy between pairs of WIM stations (9). This research is also an extension of previous research that used automatic vehicle identification data collected at static weigh station and WIM sites in Oregon to estimate the calibration of the WIM on the basis of static scale weights (10).…”
mentioning
confidence: 99%
“…To evaluate the accuracy of the individual WIM station, other established metrics such as Class 9 A1W and Class 9 Axle 2 to 3 spacing (A23S) could be investigated (8). This research builds on previous research by the authors and is the first known effort to evaluate the methods used to analyze differential calibration accuracy between pairs of WIM stations (9). This research is also an extension of previous research that used automatic vehicle identification data collected at static weigh station and WIM sites in Oregon to estimate the calibration of the WIM on the basis of static scale weights (10).…”
mentioning
confidence: 99%