Transition Period from Today to Fully Autonomous
| 项目名称： | Transition Period from Today to Fully Autonomous |
| 摘要： | Thanks to innovations from Silicon Valley, what was once thought to be a timeline that would introduce autonomous vehicles by 2035 has turned into a race to produce autonomous vehicles as fast as possible; now, the horizon for commercially available autonomous vehicles appears to be at the beginning of the next decade. However, connected autonomous vehicles (CAVs) will coexist with regular vehicles for several decades, and understanding traffic patterns during the transition period is critical to support planning and operations decisions. While behavioral modeling tools may be used to conduct such an assessment, it is also important to consider that models may require substantial changes in order to capture the impact of CAVs on traffic flow. This research will work to understand the challenges of capturing the impacts of CAVS for different traffic models. Propose adequate methodologies to incorporate CAVs into the traffic models used in this project and estimate model parameters to reflect the impact of CAVs in the selected traffic model. |
| 状态： | Completed |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Bhat, Chandra |
| 执行机构： | Data-Supported Transportation Operations and Planning Center |
| 主要研究人员： | Ruiz Juri, Natalia |
| 开始时间： | 20170901 |
| 预计完成日期： | 20180930 |
| 实际结束时间： | 0 |
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