A genetic algorithm‐optimized fuzzy logic controller to avoid rear‐end collisions

Abstract

Summary In this paper, a rear‐end collision control model is proposed using the fuzzy logic control scheme. Through detailed analysis of car‐following cases, our fuzzy control system is established with reasonable control rules. Furthermore, a genetic algorithm is introduced into the fuzzy rules refining process to reduce the computational complexity while maintaining accuracy. Numerical results indicate that our genetic algorithm‐optimized fuzzy logic controller outperforms the traditional fuzzy logic controller in terms of better safety guarantee and higher traffic efficiency. Copyright © 2016 John Wiley & Sons, Ltd.