Intelligent Transit Signal Priority
| 项目名称： | Intelligent Transit Signal Priority |
| 摘要： | Existing transit signal priority strategies rely on either extending existing green or early return to green to accommodate buses. However, field experience has shown that buses are not always able to make the green times provided by either extended green or early return to green, causing additional delays to general vehicular traffic. This is, in part, because of inaccuracy in bus arrival time estimation due to unexpected heavy queues. In addition, it has been also reported that transit signal priority (TSP) often causes disruptions in traffic signal progression along the major corridor if improperly implemented. The main purpose of this project is to investigate the status of transit signal priority in Virginia, and to explore opportunities to improve TSP through connected vehicle technology. |
| 状态： | Active |
| 资金： | 60000.00 |
| 资助组织： | Mid-Atlantic Universities Transportation Center |
| 执行机构： | University of Virginia, Charlottesville |
| 开始时间： | 20120601 |
| 实际结束时间： | 20130531 |
| 主题领域： | Operations and Traffic Management；Public Transportation；Vehicles and Equipment |
相关文献
- Multimodal Intelligent Traffic Signal System Engineering
- Evaluation of Transit Signal Priority Strategies Through Microsimulation
- Strategy Analysis and Evaluation for Emergency Vehicle Preemption and Transit Signal Priority with Connected Vehicles using Software in the Loop Simulation
- Transit Priority
- Evaluation of Freight and Transit Signal Priority Strategies in Multi-Modal Corridor for Improving Transit Service Reliability and Efficiency
- Impact of Connected and Autonomous Vehicles on Signalized Intersections with Transit Signal Priority
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