Commercial Remote Sensing and Spatial Information (CRS&SI) Technologies for Reliable Transportation Systems Planning
| 项目名称： | Commercial Remote Sensing and Spatial Information (CRS&SI) Technologies for Reliable Transportation Systems Planning |
| 摘要： | The goal of the proposed research project is to develop and validate spatial information (SI) technologies in order to plan more reliable transportation systems. The key objectives are to: (1) research and recommend the best SI technology or the best combination of technologies to capture travel time; (2) develop a space-based framework for travel time data capture, storage, retrieval, analysis and reporting; (3) research and integrate both recurring and non-recurring "incidents related" congestion components to measure link-level reliability by time of day for transportation planning; (4) process bus travel time data for better transit planning; (5) develop interactive tools with analytical/visual capabilities to assess and report condition of the network as well as facilitate stakeholder's need in identifying, prioritizing and planning transportation projects; and (6) develop a comprehensive project outreach program and effectively inform and disseminate tools/products and outcomes to relevant transportation user-communities. The proposed methodology involves data gathering/collecting, development of tools and query applications for data processing and fusion, and decision support system (DSS) tools to calibrate regional transportation planning models, assess and report link-level reliability, rank and identify congested corridors for project selection, and for incident management and re-routing traffic. |
| 状态： | Active |
| 资金： | 399862.00 |
| 资助组织： | Department of Transportation |
| 项目负责人： | Singh, Caesar |
| 执行机构： | University of North Carolina, Charlotte |
| 开始时间： | 20120914 |
| 实际结束时间： | 20150228 |
| 主题领域： | Data and Information Technology；Highways；Planning and Forecasting；Public Transportation |
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