Utilization of Connectivity and Automation in Support of Transportation Agencies’ Decision Making – Phase 2 (Project H6)
| 项目名称： | Utilization of Connectivity and Automation in Support of Transportation Agencies’ Decision Making – Phase 2 (Project H6) |
| 摘要： | Advanced technology vehicles (ATV) including connected vehicles (CV), non-connected automated vehicles (AV), and connected and automated vehicle (CAV) technologies and applications promise transformative changes in transportation system performance. Transportation agencies need the capability to assess the planning, design, operations, and management implications of the presence of such vehicles with different levels of connectivity and automation on system performance. In addition, these agencies need to assess the impacts of these technologies so that they can deploy them, or seek to inform or leverage their deployment, such that they improve the performance of the transportation system. This capability is particularly critical in the transition phase where a mixture of CAV’s and human-driven vehicles are likely to interact for at least the next decade or two and where there is insufficient real-world data to adequately guide such decisions. For decades, transportation system analysts have used modeling tools to estimate and forecast system performance. However, the introduction of ATV requires significant updates and extensions to the existing tools and the development of a framework and guidance for the use of these tools. Researchers around the world are using simulation and developing new models to assess CAV impacts. Phase 1 of this project provided a framework, guidance and initial use cases to support agencies in using simulation to analyze the impacts of ATV, as part of their decision-making processes. The proposed Phase 2 of this project will build on the achievement of Phase 1 by applying the developed framework and guidance developed in Phase 1. Phase 2 will apply the framework developed to use cases around the southeast United States. The research team will identify suitable use cases and will continue the involvement with public and private agency stakeholders to facilitate the adoption of the developed methods. |
| 状态： | Active |
| 资金： | 329692 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) |
| 项目负责人： | Tucker-Thomas, Dawn |
| 执行机构： | North Carolina State University, Raleigh<==>Georgia Institute of Technology<==>University of Florida Transportation Institute<==>Florida International University |
| 主要研究人员： | Samandar, M Shoaib；Rouphail, Nagui；Guin, Angshuman；Hunter, Michael P；Elefteriadou, Lily；Hadi, Mohammed |
| 开始时间： | 20220515 |
| 预计完成日期： | 20230731 |
| 主题领域： | Data and Information Technology；Highways；Operations and Traffic Management；Planning and Forecasting；Vehicles and Equipment |
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