A genetic algorithm‐optimized fuzzy logic controller to avoid rear‐end collisions |
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| Authors: | Chen Chen Meilian Li Jisheng Sui Kangwen Wei Qingqi Pei |
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| Affiliation: | 1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China;2. Xidian‐Ningbo Information Technology Institute, Ningbo, China;3. Information and Communication Company, Jilin Electric Power Company Limited, Changchun, China |
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| Abstract: | 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. |
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| Keywords: | rear‐end collision fuzzy logic genetic algorithm |
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