Automated Vehicle Pooled Fund Study
| 项目名称： | Automated Vehicle Pooled Fund Study |
| 摘要： | Automated Vehicles (AV) are part of the disruptive technologies within the transportation system, and they show great potential for reducing crashes and fatalities. There are dozens of pilots and demonstrations nationwide and the research team expects this to be an increasing part of our transportation future. States are a significant part of developing AV policy, infrastructure and operations. There are common questions and needs for states and collectively they can leverage funding and thinking to research priority items and accelerate progress. With this background, the pooled fund study entitled “Automated Vehicle Research Program” is proposed to provide a means to conduct the research necessary for State DOTs to play their appropriate role in advancing transportation safety using Autonomous Vehicles. The focus area of this pooled fund will be aligned with the creation of the I-70 / I-75 Automation Crossroads of America. With the focus on I-70 and I-75, DriveOhio also recognizes the need to expand of the pooled fund focus to urban and rural routes spurring off of I-70 and I-75 that will address first / last mile challenges. Through this pooled fund, the Ohio Department of Transportation (ODOT) will work with federal and state departments of transportation to establish multiple projects to research vehicle-roadway interaction including data failures and mitigation methods, identify and define standards, and encourage interoperability across state borders. |
| 状态： | Programmed |
| 资金： | 1750000 |
| 资助组织： | Connecticut Department of Transportation<==>Michigan Department of Transportation<==>Minnesota Department of Transportation<==>Ohio Department of Transportation<==>Pennsylvania Department of Transportation<==>Texas Department of Transportation<==>Maryland Department of Transportation State Highway Administration |
| 项目负责人： | Martindale, Jill |
| 开始时间： | 20211012 |
| 主题领域： | Highways；Operations and Traffic Management；Planning and Forecasting；Safety and Human Factors；Vehicles and Equipment |
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