| 基于神经网络实现的交叉口可变相序公交优先模糊逻辑控制 |
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| 引用本文： | 许伦辉,李民生.基于神经网络实现的交叉口可变相序公交优先模糊逻辑控制[J].现代交通技术,2009,6(3):82-84,98. |
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| 作者姓名： | 许伦辉 李民生 |
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| 作者单位： | 1. 华南理工大学交通学院,广东,广州,510640
2. 华南理工大学交通学院,广东,广州,510640;江西理工大学信息工程学院,江西,赣州,341000 |
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| 摘 要： | 针对城市交通信号控制及公交优先问题,提出了一种交叉口自适应可变相序的多相位控制算法,利用多层BP神经网络实现了公交优先的交通信号多层模糊控制。仿真结果表明,与定时公交优先控制模型相比,模糊神经网络控制器能有效地减少公交车辆延误,具有较强的学习和泛化能力,可用于未来的信号控制系统中。
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| 关 键 词： | 交通控制 模糊控制 神经网络 公交优先 |
Bus-priority Traffic Signal Multi-phase Fuzzy Control Based on Neutral Network |
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| Xu Lunhui,Li Minsheng.Bus-priority Traffic Signal Multi-phase Fuzzy Control Based on Neutral Network[J].Modern Transportation Technology,2009,6(3):82-84,98. |
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| Authors: | Xu Lunhui Li Minsheng |
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| Institution: | 1.College of Traffic and Communications;South China University of Technology;Guangzhou 510640;China;2.Information Engineering Faculty;Jiangxi University of Science and Technology;Ganzhou 341000;China |
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| Abstract: | According to the intersection bus-priority traffic signal control,a multi-phase adaptive control algorithm based on variable phase sequence is given. Multi-layer BP neutral network is used to realize the bus-priority traffic signal multi-phase fuzzy control. Results of simulation research show that the bus-priority fuzzy is better than the fixed-time traffic signal control model by reducing the average bus delay,and show good abilities of learning and generation. |
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| Keywords: | traffic control fuzzy control neutral network bu-priority |
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