摘要: |
Weigh-in-motion (WIM) systems capture weight and axle configurations of vehicles using the state highway network. This data is useful for interpreting the performance of our transportation infrastructure and support design, maintenance, and pavement preservation. Inaccurate estimation of axle weights can result in overestimation of ESALs for pavement design. This project aims at redesigning the auto-calibration function of WIM sites across the state. A protocol is being developed to use an updated algorithm for auto-calibration.
Currently, this project is in the phase of testing a new algorithm developed from an algorithm used by MnDOT for auto-calibration. This algorithm is being compared with original MnDOT auto-calibration, as well as the auto-calibration currently being used by ARDOT. Once the algorithm is developed, it will be tested with data from WIM sites across the state, and will be verified through field testing to ensure it will be accurate for sites in different locations with varying site conditions. |