Gerardo Lafferriere would like to acknowledge partial support from the National Institute for Transportation and Communities (NITC; grant number 1165) a U.S. DOT University Transportation Center, and the National Science Foundation (NSF; Grant number BCS-123456).
Traffic signs and signals -- Control systems, Data transmission systems -- Management, Traffic congestion, Consensus (Social sciences), Electronic traffic controls
We introduce a model for traffic signal management based on network consensus control principles. The underlying principle in a consensus approach is that traffic signal cycles are adjusted in a distributed way so as to achieve desirable ratios of queue lengths throughout the street network. This approach tends to reduce traffic congestion due to queue saturation at any particular city block and it appears less susceptible to congestion due to unexpected traffic loads on the street grid. We developed simulation tools based on the MATLAB computing environment to analyze the use of the mathematical consensus approach to manage the signal control on an urban street network.
Lafferriere, Gerardo. Mitigating Automobile Congestion Through Urban Traffic Signal Control. Project Summary NITC-RR-1165. Portland, OR: Transportation Research and Education Center (TREC), 2019.