原文传递
Design of the In-Vehicle Driving Behavior and Crash Risk Study
| 题名： | Design of the In-Vehicle Driving Behavior and Crash Risk Study |
| 责任者： | National Academies of Sciences, Engineering, and Medicine; Transportation Research Board; Strategic Highway Research Program Safety Focus Area |
| 关键词： | Transportation and Infrastructure — Highways Transportation and Infrastructure — Safety and Human Factors Transportation and Infrastructure — Vehicles and Equipment |
| 学科分类： | 暂无分类 |
| 摘要： | TRB’s Strategic Highway Research Program (SHRP 2) Report S2-S05-RR-1: Design of the In-Vehicle Driving Behavior and Crash Risk Study provides a summary of the key aspects of the planning effort supporting the SHRP 2 Naturalistic Driving Study (NDS). SHRP 2 Safety Project S05: Design of the In-Vehicle Driving Behavior and Crash Risk Study (Study Design) designed the SHRP 2 NDS, which will collect data—on the order of 1 petabyte (1,000 terabytes)—on “naturalistic,” or real-world, driving behavior over a two-year period beginning in fall 2010. The resulting data is expected to provide a wealth of information regarding driving behavior, lane departures, and intersection activities, which is anticipated to be of interest to transportation safety researchers and others for at least 20 years. An e-book version of this report is available for purchase at Google, iTunes, and Amazon. |
| 出版机构： | Transportation Research Board |
| 提交日期： | 2011 |
| 报告类型： | 科技报告 |
| 资源类型： | 科技（咨询、行业）报告 |
| 初始创建时间： | 2011 |
相关文献
- Naturalistic Driving Study: Technical Coordination and Quality Control
- Naturalistic Driving Study: Field Data Collection
- Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion
- Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk
- Initial Analyses from the SHRP 2 Naturalistic Driving Study: Addressing Driver Performance and Behavior in Traffic Safety
- Impact of Behavior-Based Safety Techniques on Commercial Motor Vehicle Drivers
检索历史
应用推荐
