Data-Driven Pavement Maintenance and Rehabilitation Strategies for GDOT's New State Route Prioritization Policy
| 项目名称： | Data-Driven Pavement Maintenance and Rehabilitation Strategies for GDOT's New State Route Prioritization Policy |
| 摘要： | The objectives of this study are to: (1) improve the accuracy and reliability of the long-term pavement performance forecasting and maintenance & rehabilitation (M&R) need analysis using updated pavement deterioration models that will be derived from the most recent COPACES data; and (2) study and determine the adequate pavement M&R strategies, including M&R methods and trigger criteria, that will effectively support of Georgia Department of Transportation's (GDOT's) new policy for state route priority categorization (i.e., critical, high, medium, and low). Asphalt pavements are the focus of this project. |
| 状态： | Active |
| 资金： | 262070 |
| 资助组织： | Georgia Department of Transportation |
| 项目负责人： | Bui, Binh |
| 执行机构： | Georgia Tech Research Corporation |
| 主要研究人员： | Wang, Zhaohua |
| 开始时间： | 20161216 |
| 预计完成日期： | 20190408 |
| 实际结束时间： | 0 |
相关文献
- Efficient and Data-Driven Pavement Management System using Artificial Intelligence
- Strategic Prioritization and Planning for Multi-Asset Transportation Infrastructure Maintenance, Rehabilitation, and Improvements: Phase 2 - Data-driven Decisions from Continuous Monitoring
- Development of Potential Strategies for Unmarked and Low Traffic Volume Roadways in Illinois
- Strategic Prioritization in Bridge Asset Maintenance Through Data-Driven Long-Term Asset Valuation with Additional Emphasis on Promoting GDOT’s Partnerships with Counties
- Data-Driven Mobility Strategies for Multi-Modal Transportation
- Data-Driven Assessment of Post-Earthquake Bridge Functionality and Regional Mobility
检索历史
应用推荐
