Using Data Analytics to Forecast Future Bridge Conditions
| 项目名称： | Using Data Analytics to Forecast Future Bridge Conditions |
| 摘要： | Reliable data-driven forecasting models allow for public agencies to plan for future needs and resource allocation. Conditions of bridge assets are managed through maintenance, preservation, rehabilitation and reconstruction. The New Hampshire Department of Transportation documents the appropriate timing of these treatments in Recommended Investment Schedules (RIS). Adhering to a bridge�s RIS extends useful service life. Quantification of the service life extension as well as how well bridges have adhered to Recommended Investment Schedules remains a challenge. This proposed research will develop New Hampshire specific deterioration curves for key bridge elements based on collected bridge element condition data and maintenance records and, additionally, the framework to track adherence to recommended bridge investment strategies and determine the appropriateness of the strategies for New Hampshire. |
| 资金： | $160,000 |
| 资助组织： | New Hampshire Department of Transportation |
| 管理组织： | New Hampshire Department of Transportation |
| 项目负责人： | Nash, Deirdre |
| 执行机构： | University of New Hampshire, Durham |
| 主要研究人员： | Bell, Erin Santini |
| 开始时间： | 20181101 |
| 预计完成日期： | 20201231 |
| 实际结束时间： | 0 |
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