| 交通拥堵情况下一种基于模糊神经网络的路径选择方案 |
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| 引用本文： | 刘莉. 交通拥堵情况下一种基于模糊神经网络的路径选择方案[J]. 科学技术与工程, 2011, 11(14) |
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| 作者姓名： | 刘莉 |
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| 作者单位： | 湖南省交通规划勘察设计院,长沙,410008 |
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| 摘 要： | 在确立了交通拥堵情况下路径选择指标体系的基础上,建立了基于模糊神经网络的交通拥堵路径评估模型。该网络具有五个因子输入,一个衡量路径花费时间的输出,总共三层的结构,且输入层具有对输入参数进行模糊化的能力。利用实际样本数据进行实证分析,训练结果表明网络预测误差小。
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| 关 键 词： | 模糊神经网络，交通拥堵，路径选择 |
| 收稿时间： | 2011-02-22 |
| 修稿时间： | 2011-02-22 |
A Path Choose Method in Traffic Congestion Situation Base on Fuzzy Neural Network |
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| liuli. A Path Choose Method in Traffic Congestion Situation Base on Fuzzy Neural Network[J]. Science Technology and Engineering, 2011, 11(14) |
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| Authors: | liuli |
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| Affiliation: | LIU Li(Hunan Provincial Communications Planning,Survey & Design Institute,Changsha 410008,P.R.China) |
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| Abstract: | Abstract: A path assessment model based on fuzzy neural network is established using the path choice index system proposed for traffic congestion situation. This network is a 3-storey structure with 5 factor inputs and one output measuring the time cost of path. The input layer has the capability of fuzzy input factors. A substantiation analysis has been made with many sampled data and training results indicate that the network prediction has less error. |
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| Keywords: | fuzzy neural network traffic congestion path choice |
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