ABSTRACT
This purpose of this study is to develop the calibration method considering temperature effects to improve the accuracy of the long-term truck data from Weigh-In-Motion (WIM) system equipped with piezo sensors. To achieve the purpose of this study, one WIM system was installed at the location where the volume of trucks are high and truck weight data have been collected since January 2010, as shown in Figure 1. As a calibration measure for temperature effects, the front axle weights of the semi-tractor trailer is used based on the assumption that the front axle weight of the tractor is relatively constant compared to other axles, regardless of the cargo weight. Calibration equations are developed from the relationship between the axle weight and the ambient temperature from the nearest meteorological station or the measured temperature in the WIM system main unit, as shown in Equation 1& 2. Configuration of Weigh-In-Motion System. https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315207681/cd556cd4-4dcf-4efe-8e29-56fc67b8bfbd/content/fig141_1.tif"/>
Figure 2 shows monthly average gross vehicle weight for each vehicle class before and after calibration. It shows that the gross vehicle weights are much more consistent after calibration for all vehicle classes except Class 9 vehicle, which has very few data. () Calibration factor 1 = 18.1 daily mean temperature https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315207681/cd556cd4-4dcf-4efe-8e29-56fc67b8bfbd/content/eq150.tif"/> () Calibration factor 2 = daily mean temperature hourly temperature https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315207681/cd556cd4-4dcf-4efe-8e29-56fc67b8bfbd/content/eq151.tif"/> Monthly average total weight of truck by classes. https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315207681/cd556cd4-4dcf-4efe-8e29-56fc67b8bfbd/content/fig141_2.tif"/>
