Connected vehicle technology, a USDOT major research initiative, brings unparalleled safety benefits and holds promise to alleviate traffic congestion and environmental impacts to future transportation systems.
- In this research paper, a connected vehicle infrastructure framework was presented in five steps.
- Upstream detectors were used to collect upstream arrival vehicle profiles for each approach and Basic Safety Messages (BSMs) were transmitted to Roadside Units (RSU) and forwarded to the model.
- Upcoming traffic data was predicted based on real-time traffic data. The predicted traffic data for a signalized intersection included incoming traffic demands, vehicle queue length of all phases, and average approach travel time, etc.
- Based on predicted data, splits were adjusted to clear the queues on all approaches. In the state of practice approach, cycle length was adjusted based on the critical intersection method.
- Alternatively, cycle length and offset were optimized to minimize queue lengths of all phases at all intersections.
- The adjusted splits, optimized offsets and cycle length were implemented for all signalized intersections.
At a 70 percent penetration rate, the connected vehicles generated 18.9 percent savings on fuel consumption and 18.7 percent reduction in emissions.