![智慧交通:高速公路移动大数据分析](https://wfqqreader-1252317822.image.myqcloud.com/cover/260/51074260/b_51074260.jpg)
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![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-8.jpg?sign=1738880654-FbiHhAjyfk8Dvl6Koew5pncj5Q13S5AH-0-152ed1caae1f67c94e19c2235424c470)
图7-8 高速公路空间流不同节点聚合特征空间分布
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-9.jpg?sign=1738880654-fBvs354OrW9aRpD6AhXHjx8OYTOXW7uz-0-eb67b814ff80d78f4efbeabadda2b26c)
图7-9 高速公路空间流节点聚合特征热点分析结果
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-10.jpg?sign=1738880654-FJ31ceCOOjrndeDCV6S3B0hQSLsE6qCn-0-df49b61595f28b98a5fafc6a2fef7b90)
图7-10 基于路径聚合特征检测的拥堵路段时空分布
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-11.jpg?sign=1738880654-1fmIPMQU8YvMNBvPvtZ73F96ltXaHqMM-0-cae85465cdd3e7b73587b43bcd1f66bc)
图7-11 路径聚合特征检测的交通拥堵频次较高路段的空间分布
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-13.jpg?sign=1738880654-2wIRE88kqaovsbhZI5VXZDxlvHtt5qBt-0-cc470c9d3f37b38da61db0a772d7b1e7)
图7-13 高速公路空间流节点连线聚类最优类别数确定
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-14.jpg?sign=1738880654-YGmRkxNeb9GUIQjotBG2JB35DfgZFR3q-0-4e2fc4f1eba008dea204e50616b527d2)
图7-14 高速公路空间流节点连线聚类结果揭示的区域关联
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/8-5.jpg?sign=1738880654-LZ3SlnBEoIdmalV6KJIkCCim5VxSfm5O-0-a0d01f2b4f8af3f368863b6368976fe8)
图8-5 结合时间聚合特征序列预测值重构高速公路空间流张量
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/8-8.jpg?sign=1738880654-XcjcWFDlxiTenAKCXefFDGzUi5mhvB5Q-0-48730c7990e4a4e66a7216d6670dbfb3)
图8-8 第一时间聚合特征序列及其ARIMA模型预测效果
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/8-9.jpg?sign=1738880654-25o0VQQAHyF67OkswpacxdcHVx5nZpM1-0-ff3327a72a2ee1cc3c74b95de7d4d467)
图8-9 第五时间聚合特征序列及其ARIMA模型预测结果
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/8-11.jpg?sign=1738880654-UTG5DcBdHq8dUypVRTFb31DfhIQyp3Po-0-fc19cc0c31d75a353e20d59539984efc)
图8-11 不同车型高速公路空间流数量预测精度与误差
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/8-14.jpg?sign=1738880654-vxCIfqNc5px2JtP6r2CDAIX0yWPhN62T-0-1675764285e8ab1614c6a170a64b6d1c)
图8-14 高速公路空间流数量预测效果评价指标对比
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/9-1.jpg?sign=1738880654-cOFwlp9uxPAQjjGcPjqt7WjhZlO8F4Xr-0-3d1b307a8952575110d5da79a3017587)
图9-1 单一类型位置聚合特征与区域经济指标多元回归精度柱状图
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/9-4.jpg?sign=1738880654-gq96CF4Lphh9vkVLhr2Uc2GmlXKKGPnx-0-205705fedeac90651553efdef001412c)
图9-4 不同节点上高速公路空间流时间聚合特征序列
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/9-5.jpg?sign=1738880654-qvAkMRmz7Xcs0yal2iGEWEIxSisBjlE3-0-f019c2d6ce9412118b091ecf69a05fcb)
图9-5 不同空气污染物含量变化