| 基于BP神经网络的交通事故预测模型 |
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| 引用本文： | 李娟,邵春福.基于BP神经网络的交通事故预测模型[J].交通与计算机,2006,24(2):34-37. |
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| 作者姓名： | 李娟 邵春福 |
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| 作者单位： | 北京交通大学,北京,100044 |
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| 摘 要： | 交通事故预测对于分析现有道路交通条件下交通事故的未来发展趋势及其预防具有重要意义。在进行交通事故统计的基础上，运用BP神经网络理论，建立交通事故预测模型。计算结果表明，该模型较传统方法精度高，可用于交通事故预测。
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| 关 键 词： | 交通事故 预测 神经网络 |
| 收稿时间： | 2005-08-28 |
| 修稿时间： | 2006-02-16 |
Traffic Accident Forecast Model Based on BP Neural Network |
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| LI Juan,SHAO Chunfu.Traffic Accident Forecast Model Based on BP Neural Network[J].Computer and Communications,2006,24(2):34-37. |
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| Authors: | LI Juan SHAO Chunfu |
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| Abstract: | Traffic accident forecast plays an important role in analyzing the trend of traffic accident under the present traffic condition. Based on analysis of road traffic accident, a set of BP neural network models, which are applied to forecasting traffic accident, are presented in this paper. The result shows that the way is precise and feasible. |
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| Keywords: | traffic accidents forecast BP neural network |
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