Applying a proactive signal control system to a connected vehicle network can reduce fuel consumption by 24 percent.

Simulation studies evaluated the performance of a proactive signal control system.

July 2017
Houston,Texas,United States

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.


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.


Results indicated the proactive control always resulted in the best performance, and the pre-timed plan exhibited the worst performance.

Compared to the fully actuated control design, the proactive control system reduced fuel consumption by 24 percent.

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Connected-Vehicle Enabled Proactive Signal Control Systems for Congestion Mitigation on Arterial Corridors (Presentation)

Published By: Texas DOT

Source Date: July 2017


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Typical Deployment Locations

Metropolitan Areas, Statewide


None defined

Benefit ID: 2018-01335