Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements
| 项目名称： | Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements |
| 摘要： | The goal of this project is to examine whether traffic volume estimates developed from disruptive technologies such as cell phones, global positioning system (GPS)/Bluetooth devices, and alternative data sources (e.g., demographic, socioeconomic, land use data) can be used confidently and accurately to support data-driven safety analysis (i.e., network screening) to meet the 2016 Highway Safety Improvement Program (HSIP) Final Rule requirements. The main research questions include: What is the expected accuracy of Annual Average Daily Traffic (AADT) estimates developed from disruptive technologies? How does the AADT accuracy vary by roadway functional class for urban and rural roads? What is the average penetration rate of disruptive data sources? What is the impact of underestimating or overestimating AADT on data-driven safety analysis? This research involves conducting a review of the literature; gathering and integrating several datasets from Texas and Virginia such as crash, roadway, and traffic data, including AADT estimates developed from disruptive data sources; performing a statistical analysis and validating AADT estimates from disruptive technologies; and conducting an impact analysis to determine how AADT estimation errors can affect the results of safety analysis. |
| 状态： | Active |
| 资金： | 1607000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Harwood, Leslie C |
| 执行机构： | Texas A&M Transportation Institute<==>Virginia Tech Transportation Institute |
| 开始时间： | 20190801 |
| 预计完成日期： | 20210228 |
| 主题领域： | Data and Information Technology；Highways；Safety and Human Factors |
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