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| 引用本文： | 关伟,蔡晓蕾.���л�·��ͨ��ʵʱ����Ԥ��ʵ��ģ��[J].交通运输系统工程与信息,2006,6(4):13-17. |
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| 作者姓名： | 关伟 蔡晓蕾 |
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| 作者单位： | ?????????? ???????????????100044 |
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| 摘 要： | 基于BP神经网络和RBF神经网络构建了城市环路交通流动态实时预测模型，并对北京市三环路的实测交通流数据进行了预测分析。实证结果表明，该模型具有较高的精确度，算法的动态实时性也满足实际预测系统的要求，具有较好的实用性。
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| 关 键 词： | ???????? BP?????? RBF?????? ??·??? |
| 文章编号： | 1009-6744(2006)04-0013-05 |
| 收稿时间： | 03 4 2006 12:00AM |
| 修稿时间： | 2006年3月4日 |
A Model of Ring Road Traffic Flow Real-time Dynamic Forecast |
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| GUAN Wei,CAI Xiao-lei.A Model of Ring Road Traffic Flow Real-time Dynamic Forecast[J].Transportation Systems Engineering and Information,2006,6(4):13-17. |
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| Authors: | GUAN Wei CAI Xiao-lei |
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| Institution: | School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044??China |
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| Abstract: | Based on BP neural network and RBF neural network, this paper formed a model of urban ring road traffic flow dynamic real-time forecast, and it makes predictions and analysis for the real traffic flow data of the 3er ring road in Beijing to test the validity of the model. The result of the experiment shows that this model has high accuracy. The real-time feature of the algorithm can satisfy the practical forecast system. |
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| Keywords: | traffic flow forecast BP neural network RBF neural network urban traffic |
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