In previous research, we have designed and successfully tested a Traffic Light Cycles Evolutionary Optimization Architecture. In this paper, we attempt to validate those results with a real-world test case. For a wide area in Santa Cruz de Tenerife city—Canary Islands—we have improved traffic behavior, using our optimized traffic light cycle times in a simulated environment. Throughout this paper, we present some of the experiences, knowledge, and problems encountered.
Update: I have been trying to read this paper and been utterly unable to undestand it. For instance, after reading the part on chromosome encoding (III.A.2) several times I still don't understand how it works. And that's the foundation of the paper.
I also don't agree that Gray coding makes any sense. It does if you use a "circular" mutation, changing only from a gene to the next one in a row, which they don't (part 6 of the same subsection). If normal bitflip is used, there's no difference between Gray code and normal binary codification. Which means the phrase
when mutation occurs the stage length [the number it codes] only increases or decreases one unit
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