| 基于BP神经网络的路口短时交通流量预测方法 |
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| 引用本文： | 尚宁,覃明贵,王亚琴,崔中发,崔岩,朱扬勇.基于BP神经网络的路口短时交通流量预测方法[J].计算机应用与软件,2006,23(2):32-33,57. |
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| 作者姓名： | 尚宁 覃明贵 王亚琴 崔中发 崔岩 朱扬勇 |
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| 作者单位： | 1. 复旦大学计算机与信息技术系,上海,200433
2. 上海宝信软件股份有限公司,上海,201203 |
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| 摘 要： | 交叉路口是一个城市交通的重要组成部分，其各方向的交通流量预测更是该城市智能交通系统中的重中之重，本文提出一种基干BP神经网络预测路口短时交通流量的方法，该方法将路口其他非预测方向和交通信号配时方案对流量预测的影响因素考虑在内。
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| 关 键 词： | 流量预测 BP神经网络 交叉路口 |
| 收稿时间： | 2005-01-27 |
| 修稿时间： | 2005-01-27 |
A BP NEURAL NETWORK METHOD FOR SHORT-TERM TRAFFIC FLOW FORECASTING ON CROSSROADS |
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| Shang Ning,Qin Minggui,Wang Yaqin,Cui Zhongfa,Cui Yan,Zhu Yangyong.A BP NEURAL NETWORK METHOD FOR SHORT-TERM TRAFFIC FLOW FORECASTING ON CROSSROADS[J].Computer Applications and Software,2006,23(2):32-33,57. |
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| Authors: | Shang Ning Qin Minggui Wang Yaqin Cui Zhongfa Cui Yan Zhu Yangyong |
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| Affiliation: | 1.Department of Computer Information and Techaology, Fudan University,Shanghai 200433, China; 2. Shanghai Baosight Software Co., Ltd, , Shanghai 201203, China |
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| Abstract: | Crossroads are important part of urban traffic system,whose flow prediction on each direction is one of the most extraordinary key functions in the urban ITS(Intelligent Transportation System).We represent a BP neural network method for short-term traffic flow forecasting on crossroads,which take the influence from the other non-predicted directions and signal timing scheme into account. |
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| Keywords: | Flow forecasting BP neural network Crossroad |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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