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基于SVM和Kalman滤波的公交车到站时间预测模型

, PP. 89-92

Keywords: 交通工程,公交车,支持向量机,到站时间,Kalman滤波,预测模型

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Abstract:

?提出一种基于支持向量机(SVM)和Kalman滤波的公交车辆到站时间预测模型。在该模型中,SVM基于历史数据,按照时间段、天气和路段3个输入特性,预测各路段车辆运行时间的基线;然后通过Kalman滤波利用最新的车辆运行信息,结合SVM输出的基线时间来动态预测车辆到达各时间点的实际时间;最后,应用大连市经济技术开发区7路公交线的数据对该模型进行了校验。实例验证结果表明:该模型具有较高的预测精度。

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