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.
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页码：1735 / 1753
页数：19
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