Beaumont, Texas, United States
Connected Vehicle-Enabled Proactive Signal Control for Congestion Mitigation on Arterial Corridors
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 of three consecutive intersections on FM 528 near Houston and the potential impact of implementing connected vehicle enabled proactive signal control. The analysis compared the performance of the proactive signal control system against a well-tuned fully actuated signal control design.
FINDINGS
With proactive control, total vehicle delay decreased by 59 percent and vehicle stops decreased by 40 percent. More specifically, the system reduced the maximum queue length and the average delay by about 76 percent and 91 percent, respectively, on major roads, and 67 percent and 78 percent on the minor roads.
