Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management
| 项目名称： | Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management |
| 摘要： | The Autonomous Maintenance Technology (AMT) is a quickly emerging autonomous-vehicle-based technology for improving transportation infrastructure maintenance by removing drivers from risk. This project will develop models and algorithms to reveal its fundamental operating mechanism, and analyze its impact to transportation capacity for infrastructure condition monitoring and performance management. Newell car following model and moving-bottleneck-based traffic flow theory will be utilized to mathematically derive the roadway capacity under different scenarios. Multiple sensors, including high resolution Global Positioning System (GPS), Light Detection and Ranging (LiDAR), Radar, high definition camera, accelerometer and gyroscope installed on the AMT vehicles will collect real data from the field for model validations. |
| 状态： | Active |
| 资金： | 104624 |
| 资助组织： | Transportation Infrastructure Durability & Life Extension<==>Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Kline, Robin |
| 执行机构： | Missouri University of Science & Technology, Rolla |
| 开始时间： | 20200501 |
| 预计完成日期： | 20220630 |
| 主题领域： | Data and Information Technology；Highways；Maintenance and Preservation；Vehicles and Equipment |
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