![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=1738840271-kqh8L8cvGKzSFYFaioGmlcX2qsJD5FKK-0-bed67f2fd64c2f31f823eb6e2e6159ad)
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=1738840271-GyB9GsHk84iRFnCPFTqrRiQQIjCZFvXZ-0-2d95cb08d265fce57a192856ac33a03f)
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=1738840271-hrTzpH5GuvVsElSVJwDVtzZiMYKVg2KN-0-3c2530f25f3d0b60e0c82eb7ab82e954)
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=1738840271-BzEoo9e22XKvVBfVa4OzGOreAn9kvKGS-0-fcccd973cb879b01f5e5f930b385a4ae)
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=1738840271-30vOAoPfCWmXlBt7Eoj4gJQfnK2qiGyP-0-21707e0ecc0119b0c266b8c2c6a49850)
图7-13 高速公路空间流节点连线聚类最优类别数确定
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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=1738840271-hxRMsVBGdCXXL4OeGH64TQJiRFF2g3ZD-0-0f5d481e6e5375b1fd1aa87e814d0b7b)
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=1738840271-tzOyxI0Hri8PmG6LeADeXdyHYdQXtbde-0-c418ec133a2786e7713462a895f6fac4)
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=1738840271-HGeNsGnsFsNiCW2EhBYike3ZS9f7lRsm-0-d32c333c7fb6685c6c8782369a404320)
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=1738840271-atlqZl89eXrmxDodvmM343plqYkzYQMj-0-bce199f99f080280f6ac52fe2f1982ba)
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=1738840271-MWE94DebDlG9d21DmrOnMzFwhB2SV1TG-0-6270dc61d4de57c1f56eb07440b4507c)
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=1738840271-AtQ4FSk0nTaxu4MtCQi4eTt4H4lQH6VZ-0-c835bb45d5dcaa49ff44636568120b85)
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=1738840271-Y2U3I9Ta0HWjn49uqnetOh1cjBv3rUkD-0-c9d8bd4a0c66ebb1bb2237bc1b291d16)
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=1738840271-61am54goW4AWrtXi4APkDaq6sf89Niwr-0-bf93a7ffb4c3ebaa103d7e58781bcadc)
图9-5 不同空气污染物含量变化