Data Collection via CRS&SI Technology to Determine When to Impose SLR
| 项目名称： | Data Collection via CRS&SI Technology to Determine When to Impose SLR |
| 摘要： | The project will apply commercial remote sensing and spatial information (CRS&SI) technology to remotely monitor roadway subsurface conditions in real time. The system will modify current data collection procedures from onsite manual downloading to real time data transfer via satellite. A Decision Support System (DSS), complemented by a project website, will be developed to wirelessly collect roadside subsurface temperature data, and determine the depth of frost and thaw penetration. This assists State Departments of Transportation (DOTs) to control road damage by properly applying seasonal load restrictions (SLR), which restrict heavy trucks from road usage for a period of time during spring thaw. The DSS will consist of a user-friendly geographic user interface (GUI) or map, a data evaluation tool or SLR Interpolator (SLRI), a frost-thaw predictive model and a centralized database that will house the new as well as historical data. Proper SLR timing by State DOTs minimizes unnecessary road damage, thus lowering maintenance costs. It also results in minimizing inconvenience to drivers and saves fuel costs to the commercial vehicle industry. The DSS will primarily be used as a monitoring tool for roadway subsurface conditions during the critical spring thaw and recovery period, but the transportation agencies and the commercial vehicle industry are expected to expand the DSS with other applications. |
| 状态： | Active |
| 资金： | 1156573.00 |
| 资助组织： | Research and Innovative Technology Administration |
| 项目负责人： | Singh, Caesar |
| 执行机构： | University of Massachusetts, Dartmouth |
| 开始时间： | 20110701 |
| 实际结束时间： | 20120630 |
| 主题领域： | Highways；Maintenance and Preservation；Pavements |
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