Trajectory Based Traffic Control with Low Penetration of Connected and Automated Vehicles
| 项目名称： | Trajectory Based Traffic Control with Low Penetration of Connected and Automated Vehicles |
| 摘要： | Traffic control is a critical component of the transportation infrastructure. The state-of-the-practice real-time signal control strategies including vehicle actuated control and adaptive control rely heavily on infrastructure-based sensors, including in-pavement or video based loop detectors for data collection. However, there are significant limitations using the infrastructure based detection. With the advances in CAV technologies, equipped vehicles can communicate with each other (vehicle-to-vehicle, V2V) and with the infrastructure (vehicle-to-infrastructure, V2I) through wireless communications. Therefore, real-time vehicle data can be collected by the infrastructure, from which vehicle trajectories can be constructed. The new source of data provides a much more complete picture of the traffic conditions around the intersection so that traffic controllers should be able to make �smarter� decisions. Meanwhile, trajectories of CAVs can also be controlled along with traffic signals to further improve traffic efficiency and gain environmental benefits. As a result, the control framework is extended from one dimension (temporal) to two dimensions (spatiotemporal). This project aims at developing new science and technology of vehicle trajectory based traffic control, especially under lower penetration of CAVs. Most of the existing models require at least a moderate penetration rate (e.g., 30%) to be effective. How to estimate real-time traffic condition and perform control under lower penetration rate (e.g., <10%) is still an open question. In addition, when the vehicle control is incorporated into signal control, usually a fully CAV environment is assumed. The interactions between CAVs and regular vehicles in a mixed traffic condition are not thoroughly investigated. |
| 状态： | Active |
| 资金： | $150,000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Center for Connected and Automated Transportation |
| 执行机构： | University of Michigan, Ann Arbor |
| 主要研究人员： | Liu, Henry |
| 开始时间： | 20180201 |
| 预计完成日期： | 20201231 |
| 实际结束时间： | 0 |
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