| 基于BP神经网络的道路交通状态判别方法研究 |
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| 引用本文： | 巫威眺,靳文舟,林培群.基于BP神经网络的道路交通状态判别方法研究[J].交通与计算机,2011,29(4):71-74,79. |
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| 作者姓名： | 巫威眺 靳文舟 林培群 |
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| 作者单位： | 华南理工大学土木与交通学院 广州510640 |
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| 摘 要： | 根据交通流复杂性的特点,提出了基于BP神经网络的交通状态判别方法。并以高速公路隧道为例,通过Matlab软件编程实现模拟仿真,最后通过对神经网络的输出结果与决策阈值相比较,确定其所反映的交通状态。仿真结果表明,该算法可用于实时交通状态判别,并具有很高的精度和较好的收敛度。
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| 关 键 词： | 交通状态判别 BP神经网络 交通状态定量划分 |
The Method of Traffic State Identification Based on BP Neural Network |
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| WU Weitiao,JIN Wenzhou,LIN Peiqun.The Method of Traffic State Identification Based on BP Neural Network[J].Computer and Communications,2011,29(4):71-74,79. |
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| Authors: | WU Weitiao JIN Wenzhou LIN Peiqun |
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| Institution: | WU Weitiao JIN Wenzhou LIN Peiqun(School of Civil and Transportation,South China University of Technology,Guangzhou 510640,China) |
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| Abstract: | According to the complex characteristic of traffic flow,the method of traffic state identification is proposed based on BP neural network.Taking the highway tunnel as an example,the paper realizes the analog simulation through the Matlab software programming,and eventually determined its reflected traffic state through comparing neural network's output result with the threshold value.The simulation result indicates that this algorithm can be used in the real-time traffic state identification,and has very hi... |
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| Keywords: | traffic state identification BP neural network traffic state quantitative division |
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