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Neuro-fuzzy techniques are proposed here to control each light of an intersection, at one-second intervals. Rules, fuzzification and inference are modeled by a neural network. For each signal, the neuro-fuzzy control selects between ‘switch on’ and ‘switch off’, and presents the required action to a Petri net. A neuro-fuzzy acceleration of Forward Dynamic Programming (FDP) is obtained by enumerating...
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