Cooperative vehicle intersection signal control systems can reduce fuel consumption and emissions by 36 and 37 percent, respectively.
Using simulation case studies to evaluate connected vehicle applications.
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United States

Sustainability assessments of cooperative vehicle intersection control at an urban corridor

Summary Information

This research evaluated the benefits of cooperative vehicle intersection control (CVIC) systems. A microscopic simulation model (VISSIM) was constructed to represent a hypothetical arterial consisting of four single-lane intersections spaced 400 meters apart. At each intersection an Intersection Control Agent (ICA) and an advanced algorithm were used to collect and analyze V2I data and recommend vehicle control actions to optimize network performance. The simulation included eight congestion scenarios ranging from low to high traffic volume conditions. Each scenario was analyzed to estimate network performance with and without the CVIC on a baseline network of coordinated actuated control at each intersection.

The authors discussed several important assumptions in the analysis including a market penetration rate that was set at 100 percent and the technical performance of wireless communications for connected vehicles which was assumed perfect.

  • Applying a microscopic level emissions and fuel consumption estimation model to the mobility data indicated that the CVIC system would contribute to improved air quality and fuel consumption, realizing up to 36 percent and 37 percent reduction of greenhouse gas emissions and fuel consumption, respectively.
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