Exploring Non-Traditional Methods to Obtain Vehicle Volume and Class Data
| 项目名称： | Exploring Non-Traditional Methods to Obtain Vehicle Volume and Class Data |
| 摘要： | The objective of this pooled fund project is to develop and deploy methods and approaches to obtain vehicle volume and classification data with passively collected data. Volume data refers to the annual average daily traffic (AADT) for all vehicles (both passenger and trucks) covering all roadway functional classes by traffic link or finer levels of segmentation with emphasis on functional classes of minor arterials, collectors, and local roads. Volume data on high volume urban interstates is also highly desired as there is a greater risk for collecting this data in these environments because maintenance of traffic is more expensive and these activities can disrupt normal traffic patterns. |
| 状态： | Programmed |
| 资金： | 1485000 |
| 资助组织： | Alaska Department of Transportation and Public Facilities；Nebraska Department of Transportation；Ohio Department of Transportation；Virginia Department of Transportation；Pennsylvania Department of Transportation；Federal Highway Administration；Minnesota Department of Transportation；North Dakota Department of Transportation；Idaho Department of Transportation；Maryland Department of Transportation State Highway Administration；North Carolina Department of Transportation；Colorado Department of Transportation；Oregon Department of Transportation；Texas Department of Transportation；Illinois Department of Transportation；California Department of Transportation；Georgia Department of Transportation；New Jersey Department of Transportation；South Carolina Department of Transportation |
| 项目负责人： | Jessberger, Steven |
| 开始时间： | 20221102 |
| 主题领域： | Data and Information Technology；Highways |
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