Enhancing Freeway Safety Prediction Models
| 项目名称： | Enhancing Freeway Safety Prediction Models |
| 摘要： | Safety prediction models have been developed for urban freeway segments in Texas and elsewhere to apply to cross sections up to 10 lanes wide. These models are documented resources such as TxDOT’s Roadway Safety Design Workbook and the Highway Safety Manual (HSM), and applied in several spreadsheet-based analysis tools. These tools are acknowledged in the Project Development Process Manual and have been used by various district personnel, particularly in the evaluation of project alternatives or analysis of design exceptions. However, additional research is needed to address knowledge gaps as well as to develop updated local calibration factors for the models. Specifically, safety prediction models do not exist for 12-lane freeway segments or freeway segments with managed lanes (such as high-occupancy-vehicle or high-occupancy-toll lanes). This research project will develop new safety prediction models for 12-lane freeway segments and segments with managed lanes, and also derive local calibration factors for models for urban freeway segments with 4-10 lanes. The project will also develop an analysis tool to help practitioners implement the new models to facilitate analysis of complex urban freeway configurations, such as cases where an urban freeway widening project requires challenging tradeoffs between narrowing lanes or inside or outside shoulders. |
| 状态： | Active |
| 资金： | 275000 |
| 资助组织： | Texas Department of Transportation<==>Federal Highway Administration |
| 项目负责人： | Pridgen, Shelley |
| 执行机构： | Texas Transportation Institute |
| 开始时间： | 20200101 |
| 预计完成日期： | 20211231 |
| 主题领域： | Operations and Traffic Management；Safety and Human Factors |
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