| 基于粗糙集理论的短时交通流组合预测研究 |
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| 引用本文： | 田光理,苑红伟,牛德宁.基于粗糙集理论的短时交通流组合预测研究[J].道路交通与安全,2010(2):23-26,30. |
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| 作者姓名： | 田光理 苑红伟 牛德宁 |
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| 作者单位： | 中国矿业大学交通运输系,江苏徐州221116 |
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| 基金项目： | 中国矿业大学大学生实践创新训练计划项目(090114) |
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| 摘 要： | 为满足交通流诱导系统的理论需要,建立了一种基于粗糙集理论的实时交通流量组合预测模型。通过粗糙集理论来确定组合预测中的权系数,对路段的交通流做出短时预测。结合某路段的实际交通流数据,对预测模型进行仿真训练,经过比较分析,验证了该组合预测模型的有效性和实用性。
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| 关 键 词： | 短时预测 粗糙集理论 交通流 组合预测 |
Research on Combine Prediction of Short-term Traffic Flow Based on Rough Set Theory |
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| Tian Guangli,Yuan Hongwei,Niu Dening.Research on Combine Prediction of Short-term Traffic Flow Based on Rough Set Theory[J].Road Traffic & Safety,2010(2):23-26,30. |
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| Authors: | Tian Guangli Yuan Hongwei Niu Dening |
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| Institution: | Tian Guangli,Yuan Hongwei,Niu Dening(Department of Traffic , Transportation,China University of Mining , Technology,Xuzhou 221116,Jiangsu) |
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| Abstract: | To meet the needs of Traffic Flow Guidance System,a real-time traffic flow combined forecasting model based on rough set theory was established.By rough set theory,the weight coefficient of combination forecasting was determined.A combination forecasting modelwas established to make short-term prediction to traffic flow of the section.Combining a section of the actual traffic flow data,simulation training was conducted by the prediction model.Through comparison and analysis,the combination forecasting model... |
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| Keywords: | short-term prediction rough set theory traffic flow combine prediction |
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