Traffic control strategies at intersections have evolved through applying advanced control technologies during recent decades, especially for signalized intersections around urban areas. Now, with emerging connected vehicle technology there is a renewed potential to improve the overall efficiency and safety conditions at intersections.
A group from the Department of Civil and Environmental Engineering at The University of Tennessee, Knoxville conducted a study of the relationship between average system delay and average queue length for traffic approaching signalized intersections. The team utilized data from the City of Detroit collected in a field test during the 2014 Intelligent Transportation Systems World Congress. The study presented an in-depth analysis about how to use the information from the connected vehicles to simulate the real-world situation, so that an optimal traffic signal control solution can be achieved at intersections.
Results from the AnyLogic agent-based simulation model showed a decrease in average system delay, reduced traffic queue for different traffic lanes, and a positive relationship between the average system delay and the average traffic queue length.