Surrogate Model based Optimization of Traffic Lights Cycles and Green Period Ratios using Microscopic Simulation and Fuzzy Rule Interpolation
In this paper, first the travel and delay times in a road ending in a traffic light are determined under different traffic flows and traffic light cycles using a microscopic traffic simulator. The obtained results are analyzed and compared with the results of other models reported in the literature. In addition, the optimal traffic light cycle times under different loads are determined for one road and a method is shown to obtain the optimal green period ratios of a traffic light as well as the cycle time in an intersection. Finally, the generation of a fuzzy model is presented and a methodology is suggested, where the fuzzy system is applied as a surrogate model for the determination of the optimal green period ratios and traffic light cycle times.
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