Traffic signal control on similarity logic reasoning

Abstract

The main intention in this study is to tie fuzzy reasoning to many-valued logic framework; a Lukasiewicz many-valued logic similarity based fuzzy control algorithm is introduced, and tested in three realistic traffic signal control systems. The results are compared to fuzzy control systems where the inference is based on standard Matlab Fuzzy Logic toobox's Mamdani-style system. The compared traffic signal control modes are signalized pedestrian crossing and multi-phase signal control with phase selection. The statistical significance in differences of expectations obtained by different control schemes has been tested by two-sided approximate Students test on significance level α=0.01. Simulations made by HUTSIM traffic signal simulator show that the performances of the new control algorithm and that of standard Mamdani-style algorithm are almost equal. However, if traffic density is high then the new algorithm gives significantly better statistical results. Moreover, a stronger mathematical approach offers a natural smoothness test.