| 基于遗传算法的流量差值预测模型 |
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| 引用本文： | 徐明,王翔.基于遗传算法的流量差值预测模型[J].现代交通技术,2011,8(1):73-75. |
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| 作者姓名： | 徐明 王翔 |
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| 作者单位： | 1. 江苏沪苏浙高速公路有限公司,江苏,苏州,215212
2. 同济大学交通运输工程学院,上海,200092 |
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| 摘 要： | 随着高速公路网络以及联网收费技术的发展,路网中心需对各收费站进出流量差异进行分析及预测.该文应用ELMAN神经网络,运用相关站点历史数据逼近的方法,建立了流量差值预测模型;运用遗传算法对神经网络进行优化.预测模型能基本反映流量差值的变化趋势.
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| 关 键 词： | 联网收费 流量差值 遗传算法 预测 |
Forecast Model of Traffic Distribution Based on Genetic Algorithm |
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| Xu Ming,Wang Xiang.Forecast Model of Traffic Distribution Based on Genetic Algorithm[J].Modern Transportation Technology,2011,8(1):73-75. |
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| Authors: | Xu Ming Wang Xiang |
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| Institution: | Xu Ming1,Wang Xiang2(1.Jiangsu Husuzhe Expressway Company Limited,Suzhou 215212,China,2.School of Transportation Engineering,Tongji University,Shanghai 200092,China) |
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| Abstract: | With the progress of expressway network and network toll techniques,road network needs to analyze and forecast the D-value of flow in one station.In this paper,the flow D-value forecast model was built using ELMAN neural network and the method of relevance station history data approximation,and it was optimized by genetic algorithm.The forecast model could reflect flow difference trend. |
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| Keywords: | network toll D-value of flow genetic algorithm forecast |
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