| 交叉口瞬时交通流量预测的自适应卡尔曼滤波模型 |
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| 引用本文： | 马健,张丽岩,李克平,孙剑,朱从坤.交叉口瞬时交通流量预测的自适应卡尔曼滤波模型[J].中南公路工程,2013(5):107-111. |
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| 作者姓名： | 马健 张丽岩 李克平 孙剑 朱从坤 |
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| 作者单位： | [1]同济大学道路与交通工程教育部重点实验室,同济大学交通学院上海201804 [2]苏州科技学院土木工程学院,江苏苏州215011 |
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| 基金项目： | 国家自然科学基金（61004113和71072027）、江苏省高校自然科学基金（12KJB580005） |
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| 摘 要： | 提出了一个交叉口瞬时交通量预测的带时间窗自适应卡尔曼滤波模型（Adaptive Kalman Filter Model,AKFM）;详细阐述了模型的理论基础、建立过程、推导步骤及状态转移矩阵;并通过C＋＋实现了AKFM和传统卡尔曼滤波模型（Traditional Kalman Filter Model,TKFM）;最后,通过实际交叉口的检测数据对该模型与传统卡尔曼滤波模型进行了比较分析及评价.实验结果表明,AKFM模型是稳定有效的,预测精度优于TKFM.
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| 关 键 词： | 瞬时交通流预测 卡尔曼滤波器 时间窗口 自适应方法 状态转移矩阵 |
an Improved Adaptive Kalman Filter Model for Short-term Traffic Flow Prediction at Intersection |
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| MA Jian;ZHANG Liyan;LI Keping;SUN Jian;ZHU Congkun.an Improved Adaptive Kalman Filter Model for Short-term Traffic Flow Prediction at Intersection[J].Central South Highway Engineering,2013(5):107-111. |
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| Authors: | MA Jian;ZHANG Liyan;LI Keping;SUN Jian;ZHU Congkun |
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| Institution: | MA Jian;ZHANG Liyan;LI Keping;SUN Jian;ZHU Congkun(Key Laboratory of Road and Traffic Engineering of the Ministry of Education, School of Transportation Engineering, Tongji University, Shanghai, 201804, China; Department of Civil Engineering,Suzhou University of Science and Technology, Suzhou, Jiangsu, 215011 ,China) |
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| Abstract: | The paper presents an adaptive Kalman filter model （AKFM） with time-window for short-term traffic flow prediction at intersection.Then it studies the theoretical basis,the modeling process,the derivation steps and state transition matrix and implements the AKFM and Traditional Kalman Filter Model（TKFM） by C ＋ ＋.Finally,in experimental study,the paper shows that AKFM is stable,adaptable and effective.It can promote the prediction efficiency and lower the relative error of prediction in limited time and prediction accuracy is better than TKFM. |
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| Keywords: | Short-term traffic flow prediction Kalman filter Time-window Adaptive method State transition matrix |
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