Quantifying uncertainty and distributed adaptive control for unanticipated traffic patterns as a result of major natural and man-made disruptions
| 项目名称： | Quantifying uncertainty and distributed adaptive control for unanticipated traffic patterns as a result of major natural and man-made disruptions |
| 摘要： | The project aims to develop control tools (algorithms) for traffic management in congested urban networks in a way that (i) takes advantage of data made available to intersection controllers by the vehicles and (ii) adapts to dramatic changes in traffic conditions (namely, incidents and no-notice emergency management events). The first part of the research quantifies uncertainty in traffic conditions due to data and data processing limitations, the second part of the research utilizes this understanding of uncertainty to develop scalable and robust control techniques. |
| 状态： | Completed |
| 资金： | 119058 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART) |
| 执行机构： | Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART) |
| 主要研究人员： | Jabari, Saif Eddin |
| 开始时间： | 20171001 |
| 预计完成日期： | 20181031 |
| 实际结束时间： | 20181031 |
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