TRC1801 - Evaluation of WIM Auto-Calibration Practices and Parameters
项目名称: TRC1801 - Evaluation of WIM Auto-Calibration Practices and Parameters
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.
状态: Active
资金: $174.545
资助组织: Federal Highway Administration
管理组织: Arkansas Department of Transportation
项目负责人: Caster, William
执行机构: University of Arkansas, Fayetteville
主要研究人员: Nurre, Sarah
开始时间: 20170726
预计完成日期: 20201231
实际结束时间: 0
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