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

被引：20

作者：

Chen, Chen ^{[1
,2
]}

Li, Meilian ^{[1
]}

Sui, Jisheng ^{[3
]}

Wei, Kangwen ^{[1
]}

Pei, Qingqi ^{[1
]}

机构：

[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

[2] Xidian Ningbo Informat Technol Inst, Ningbo, Zhejiang, Peoples R China

[3] Jilin Elect Power Co Ltd, Informat & Commun Co, Changchun, Peoples R China

来源：

JOURNAL OF ADVANCED TRANSPORTATION | 2016年 / 50卷 / 08期

基金：

中国国家自然科学基金;

关键词：

rear-end collision; fuzzy logic; genetic algorithm;

D O I：

10.1002/atr.1426

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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 (C) 2016 John Wiley & Sons, Ltd.

引用

页码：1735 / 1753

页数：19

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