A Fuzzy Traffic Controller with adaptive strategies for fuzzy urban traffic control systems combined with two different defuzzification and decision-making criteria is presented. The basic concept of adaptive strategies employed is to adjust the membership functions according to the traffic conditions to optimize the controller's performance. The methods are: statistical-adaptive and fuzzy-adaptive, respectively. The Fuzzy Traffic Controller (FTC), which is composed by a Fuzzy Logic Controller (FLC), a State Machine and an Adaptive Module, is described. A case study, concerning the application of the proposed FTC in the intersection of two major avenues of the city of Sao Paulo is also addressed. The results show that the FTC developed out perform conventional control strategies and alternative fuzzy control schemes.
Fuzzy traffic control: adaptive strategies
Fuzzy-Verkehrsregelung: Adaptive Strategien
1993
6 Seiten, 7 Bilder, 3 Tabellen, 7 Quellen
Conference paper
English
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