| 交通流非线性回归模型的变点统计分析 |
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| 引用本文： | 付宇,王晓原.交通流非线性回归模型的变点统计分析[J].水运科技信息,2009(6):58-61. |
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| 作者姓名： | 付宇 王晓原 |
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| 作者单位： | 山东理工大学交通与车辆工程学院智能交通研究所,淄博255049 |
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| 基金项目： | 山东省自然科学基金研究项目（Y2006G32） |
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| 摘 要： | 以往的交通流状态辨识主要集中在交通流状态预辨识（即交通流预测）和实时辨识（即事件检测或交通流突变检测）上,在一定程度上忽略了对交通流变量规律的辨认。依据交通流理论,采用非线性回归模型变点的统计方法,对变点识别的关键问题进行了分析。结合淄博市中心路的实地数据对本方法进行了标定和检验,验证了方法的有效性和可行性。
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| 关 键 词： | 交通流 量变规律识别 非线性回归 变点统计 |
Statistical Analysis for Change-Point of Non-linear Regressions Model of Traffic Flow |
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| Fu Yu,Wang Xiaoyuan.Statistical Analysis for Change-Point of Non-linear Regressions Model of Traffic Flow[J].Transportation Science & Technology,2009(6):58-61. |
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| Authors: | Fu Yu Wang Xiaoyuan |
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| Institution: | (Institute of Intelligent Transportation,School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China) |
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| Abstract: | The former traffic flow condition recognition mainly concentrated on traffic flow state recognition（namely traffic flow forecasting）and real-time recognition（namely incident detection or traffic flow breakdown detection）,but recognition of quantitative change rule of traffic flow was neglected in some degree.Based on the traffic flow theory and the change-point statistical analysis of non-linear regressions,the key to the change-point recognition is analyzed.The method is calibrated and tested with field data of Zhongxin Road of Zibo city to verify the validity and the feasibility of the theory~ |
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| Keywords: | traffic flow quantitative change rule recognition non-linear regressions change-point statistics |
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