Towards Efficient Prediction of Highway Friction on an Annual Basis on Texas Network
| 项目名称： | Towards Efficient Prediction of Highway Friction on an Annual Basis on Texas Network |
| 摘要： | Texas roads see a significant number of wet-weather crashes; therefore, ensuring adequate skid resistance (skid number) is of utmost importance for public safety. Recent laser technology allows quick, efficient, and high-resolution skid resistance measurement. However, contractors collect macrotexture only in terms of mean profile depth—a poor predictor of skid. Consequently, TxDOT personnel have to collect the additional skid data necessary, covering about 33% of the network on an annual basis (approximately 50% of the Interstate System and 25% of the non-Interstate system). This project will develop an instrument that can collect high-resolution surface profiles to determine macrotexture and microtexture under different conditions and on different surface types. This information will be used to develop equations to predict friction and skid numbers with a high degree of accuracy. This instrument will be able to collect data at highway speed, allowing accurate texture data collection on the entire network on an annual basis. Because this instrument will be small enough to attach to any surveying vehicle, texture data can be collected as part of other operations, eliminating the need for an independent data collection effort. This will provide not only savings but also enhance operational safety. |
| 状态： | Active |
| 资金： | 348740 |
| 资助组织： | Texas Department of Transportation |
| 项目负责人： | Pridgen, Shelley |
| 执行机构： | Center for Transportation Research |
| 开始时间： | 20190927 |
| 预计完成日期： | 20211231 |
| 主题领域： | Pavements |
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