![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=1739250662-88BjLFhur3GdgzQWNGKYoEhfVwDLZLnG-0-77fe2348c6e0fca9f6a76e11bb1945d5)
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=1739250662-yy5jslYUJR612edDNahIOjVdAkUbE6x8-0-26fd8a15009cbd01ad8a400ea9ff9a94)
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=1739250662-aHTkWJUHdpmKuOUAF3lKW2EaVgAS2yyq-0-9ba994c5a55caea0424b933cca4927b1)
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=1739250662-gjhIe0VXV14C1wX79L1uqyJAo5SDth1g-0-e58c799db63876cbe6386b65b7046ebd)
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=1739250662-ivWDEpIWPnifqZAYpjZUm1fAvKZOa403-0-53c35de773117aea49fd5adb7abe5b89)
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=1739250662-Osnaj4r2MJZwzAoPYzKusrt7e3gql9MW-0-bc0d122cfff218fd1357d70329271279)
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=1739250662-xns085h1xl34nN1AGJc1gNoH4TYJI0vr-0-e10a1bc39b5a1caa5d123bf2a5861767)
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=1739250662-wg8u5T8uBAqomGG6iNB5WKepWjRAmFM5-0-a8faa771083c739aa15fae6fc1adf6b5)
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=1739250662-Sefx5F3rzhyZeIwHrdwGZZ7pysN6eWEZ-0-36d6bad0486d7c1157d33e988750f4d9)
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=1739250662-UJMdYBbsUhaUIFerhEoOWiIo5rl4F7uk-0-6a3f14405e1466775fe7374837d29b93)
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=1739250662-kVJ05IgKk80mXuWRvts7IddsplMQQK86-0-a70b4a331d939a3e7fdee64229b0556b)
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=1739250662-0cJl7p9pyY1hGnaaI69hlVTB6isIjeMq-0-747dd89f8425995cc7429a7d70624bf7)
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=1739250662-rvZMDBDgGoIpOMWLyuB5ZSzoUvEuf9YV-0-06fa5c70b89a92f242da313f196431b6)
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=1739250662-DtJFQ061hJOh6WeUZtTFhfCLT7pCQkXU-0-2f178a92deeafa68240173cd845e9cfa)
图9-5 不同空气污染物含量变化