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基于路段检测器布局的短期交通流预测模型

Short-term Traffic Flow Forecasting Based on Traffic Detector’s Layout

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【作者】 向红艳朱顺应胡桂生

【Author】 Xiang Hongyan1,2) Zhu Shunying3) Hu Guisheng4)(School of Transportation,Chongqing Jiaotong University,Chongqing 400074)1)(Transit College,Southwest Jiaotong University,Chengdu 610031)2)(School of Transportation,Wuhan University of Technology,Wuhan 430063)3)(Panzhihua Department of Transportation,Panzhihua 617000)4)

【机构】 重庆交通大学交通运输学院西南交通大学交通运输学院武汉理工大学交通学院攀枝花市交通局

【摘要】 通过分析路段上各点以及交叉口之间交通流的内在联系,利用连续性和相关性原理,建立基于检测器布局的短期交通流预测模型.探讨了检测器布局的一般方法,阐述了布局位置对交通流预测结果的影响.根据路段上游、下游2点的检测器数据可建双点预测模型,能用于隧道、桥梁等特殊路段的短期交通流预测.根据路网上多个检测点的数据,可建立多点预测模型,各检测点的权重用F-AHP法确定,模型系数矩阵用最小二乘法标定.以重庆市某路段的交通量预测为例,分别用双点预测法和多点预测法进行了预测,并对预测效果进行了分析和比较.

【Abstract】 Traffic flow at different point of the upper and lower link have close relationship,they have continuity and relativity characteristic.This paper put forward short-term traffic flow forecasting models based on traffic detector’s layout.It discussed the general method on how to distribute detector,and analyzed the effect of detector’s layout on the traffic flow predication.It set a double-point forecasting model using traffic flow data that on the upper and lower link,which will perfectly fit tunnel traffic flow predication.A multi-point forecasting model is also given in the paper,which will improve the predication result.In the multi-point model,the detector’s weighing was computed by F-AHP method,coefficient matrix computed by least square method.An example is given,using double-point model and multi-point model separately,and their forecasting result is compared.

【基金】 国家自然科学基金项目资助(批准号:50778142);交通部应用基础基金项目资助(批准号:200331981408)
  • 【文献出处】 武汉理工大学学报(交通科学与工程版) ,Journal of Wuhan University of Technology(Transportation Science & Engineering) , 编辑部邮箱 ,2009年02期
  • 【分类号】U491.112
  • 【被引频次】6
  • 【下载频次】233
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