Simulation studies evaluated the performance of a proactive signal control system.
Houston, Texas, United States
Connected-Vehicle Enabled Proactive Signal Control Systems for Congestion Mitigation on Arterial Corridors (Presentation)
Summary Information
This research developed a proactive signal control system based on connected vehicles to minimize vehicle delay at multiple intersections. The system utilized connected vehicles to accurately predict the volumes entering the intersection through different movements.
METHODOLOGY
Macroscopic simulations of isolated and multiple intersections were used to estimate the effectiveness of the system at reducing vehicle delay. Signal timing was optimized based on a short-term prediction of total vehicle delay at a sample intersection. In addition, the study used a microscopic traffic simulator (INTEGRATION) to emulate the performance a real-world roadway having multiple intersections and validate the proposed design. The analysis compared the performance of the proactive signal control system against both a pre-timed signal control design and a well-tuned fully actuated signal control design on route FM-1964 near Houston.
FINDINGS
Results indicated the proactive control always resulted in the best performance, and the pre-timed plan exhibited the worst performance.
Compared to the pre-timed plan, the proactive signal control reduced total vehicle delay by about 77 percent for a two-phase isolated intersection, and 62 percent for two consecutive intersections.
Compared to the fully actuated control design, the proactive control system reduced total vehicle delay up to 89 percent and decreased vehicle stops by 31 percent.
