Identifying Deviations from Normal Driving Behavior
| 项目名称： | Identifying Deviations from Normal Driving Behavior |
| 摘要： | Advanced driver assistance systems (ADAS) have significantly improved safety on today’s roadways but their impact may be limited by driver errors. Understanding and identifying these driver errors will require the integration of multi-domain datasets through predictive modeling and data integration approaches. The goals of this project are to identify relevant datasets for ADAS error prediction, evaluate modeling approaches for predicting driver errors during ADAS use, and developing models to proactively predict driver errors. Results from the project will be used to guide data collection system design at automakers and develop predictive modeling benchmarks. |
| 状态： | Active |
| 资金： | 49493 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Glenn, Eric Zachary |
| 执行机构： | Texas A&M Transportation Institute (TTI) |
| 开始时间： | 20201020 |
| 预计完成日期： | 20211015 |
| 主题领域： | Data and Information Technology；Safety and Human Factors；Vehicles and Equipment |
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