Data Mining to Improve Planning for Pedestrian and Bicyclist Safety
| 项目名称： | Data Mining to Improve Planning for Pedestrian and Bicyclist Safety |
| 摘要： | Technological advancement in transportation has been creating new opportunities to explore and investigate new sources of data for the purpose of improving safety planning. The proposed project will investigate data from multiple sources, including automated pedestrian and bicycle counters, video cameras, crash databases, and global positioning system (GPS)/mobile applications (both active and passive monitoring), to inform bicycle and pedestrian safety improvements. The project goal is to combine/integrate and use the strength of these data sources to produce useful insights in transportation safety planning. While it may not be possible to use all these data sources due to data unavailability, data ownership, and other unforeseen issues, the research team will do their best to obtain and use data from as many sources as feasible. To estimate pedestrian and bicyclist counts at intersections, exposure models will be developed incorporating explanatory variables from a broad spectrum of data sources. Intersection related crashes and estimated exposure will then be used to build risk models that identify high risk intersections. |
| 状态： | Active |
| 资金： | 289793 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Safety through Disruption University Transportation Center |
| 项目负责人： | Harwood, Leslie C |
| 执行机构： | Virginia Tech Transportation Institute |
| 主要研究人员： | Jahangiri, Arash |
| 开始时间： | 20170401 |
| 预计完成日期： | 20181230 |
| 实际结束时间： | 0 |
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