Connected Vehicle-Based Multi-Modal Signal Control
Connected vehicle (CV) based multi-modal signal control system, which utilizes CV trajectory data under different penetration rates as input. Traffic estimation models are built to estimate states of regular vehicles based on CV data. Then optimization problems are formulated and solved to adjust signal timing dynamically and provide priority to multi-modal road users including cars, emergency vehicles, transit vehicles and pedestrians. Related Publications: I-SIG, Low_PR |
Spatiotemporal Intersection Management
Connected and automated vehicles (CAVs) not only act as floating sensors, but can act as actuators to influence traffic flow. The proposed spatiotemporal intersection management scheme simultaneously optimize traffic signal parameters as well as CAV trajectories. The system mobility can be improved through CAV platooning and better utilization of green time at the intersection. In addition, fuel consumption and emission can be reduced due to smoothed vehicle trajectories.
Related Publications: Spatiotemporal, integrated, corridor, cooperative |