This paper proposes a multi-agent type-2 fuzzy logic control (FLC) method optimized by differential
evolution (DE) for multi-intersection traffic signal control. Type-2 fuzzy sets can deal with models’
uncertainties efficiently because of its three-dimensional membership functions, but selecting suitable
parameters of membership functions and rule base is not easy. DE is adopted to decide the parameters
in the type-2 fuzzy system, as it is easy to understand, simple to implement and possesses low space
complexity. In order to avoid the computational complexity, the expert rule base and the parameters
of membership functions (MF) are optimized by turns. An eleven-intersection traffic network is studied
in which each intersection is governed by the proposed controller. A secondary layer controller is set in
every intersection to select the proper phase sequence. Furthermore, the communication among the
adjacent intersections is implemented using multi-agent system. Simulation experiments are designed
to compare communicative type-2 FLC optimized by DE with type-1 FLC, fixed-time signal control, etc.
Experimental results indicate that our proposed method can enhance the vehicular throughput rate
and reduce delay, queue length and parking rate efficiently
This paper proposes a multi-agent type-2 fuzzy logic control (FLC) method optimized by differentialevolution (DE) for multi-intersection traffic signal control. Type-2 fuzzy sets can deal with models’uncertainties efficiently because of its three-dimensional membership functions, but selecting suitableparameters of membership functions and rule base is not easy. DE is adopted to decide the parametersin the type-2 fuzzy system, as it is easy to understand, simple to implement and possesses low spacecomplexity. In order to avoid the computational complexity, the expert rule base and the parametersof membership functions (MF) are optimized by turns. An eleven-intersection traffic network is studiedin which each intersection is governed by the proposed controller. A secondary layer controller is set inevery intersection to select the proper phase sequence. Furthermore, the communication among theadjacent intersections is implemented using multi-agent system. Simulation experiments are designedto compare communicative type-2 FLC optimized by DE with type-1 FLC, fixed-time signal control, etc.Experimental results indicate that our proposed method can enhance the vehicular throughput rateand reduce delay, queue length and parking rate efficiently
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