A Fuzzy Logic Controller with Adaptive Dynamic Programming Optimization for Traffic Signals

This paper proposes a fuzzy logic signal controller with adaptive dynamic programming optimizing for traffic intersection. Because fuzzy logic has a clear advantage that it is able to use expert knowledge well, we adopt it in our controller. As adaptive dynamic programming is an advanced technology which is suitable for solving non-linear stochastic system optimizing problems, we use it to optimize our fuzzy logic controller. We set up an isolated intersection model of two-way roads with both left and right turns, and test the controller with ADP optimization under both constant and variable traffic flow rates. The simulation results show that this controller has a good performance.