![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)
上QQ阅读APP看书,第一时间看更新
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-8.jpg?sign=1739191810-BnOM5zwQUnrZRKBNZgfrN3GFrC3pVDT5-0-29f2fc3696aaa507a3f5f52422501857)
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=1739191810-JnlKcAlyLp5j6tHYm4ODp6rg63thMhok-0-fd585cb7a537f5098f008724b7b7799b)
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=1739191810-E1nsR9m2RRXsi5mRgI4THzYdOdfJlw8m-0-9b81ccf906db817ee61523cb576b47e8)
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=1739191810-w02qQHVaAj8B9jLtGVDwcdYvXXImRM3E-0-42ebc1c1eb20c85ff50aea554f15aabd)
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=1739191810-2LXx82ztZHe3MvODVVJMQcOhH215f4Qc-0-74c706852bb8efe875a099cc26cce931)
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=1739191810-1ND37faJmJsMUhC7vM2cBE8wUYcTWj1O-0-5a377f8c95fc5c53b4030b22b7283ea6)
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=1739191810-rmD8bT5Qh5Oua1fDhVYqikwFRBWzxWdO-0-03165a6f16debe9568480c5769ab39c8)
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=1739191810-irCX38gvCLzdWB9m20qV2a1kVVHJviXD-0-8a1785e5bc4a0d06d8784b4b5c31b887)
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=1739191810-fOQGn0PEGRq0LkhCf860nom8O7S9Sggx-0-148f9defd725b46749f1c7aadf670217)
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=1739191810-AFWGn8lri7Q9vDxPsOwktpu9AyVBC0mC-0-dc68f01d8c16a21c84ed6ec3970c1c14)
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=1739191810-6I6NtITdp99csWvKMaaD35zyeJYAafwa-0-e95ec090c11439eb95bb27cb7fb5da60)
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=1739191810-2Xo39rjHbn3gtZhG3o4QoQDbFwTEsFCr-0-a9bbd53077ab42260faf7c6895cde105)
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=1739191810-Qj1z1j6TqWwR1Hh9spmwtT8vcHTqBwLR-0-2ba156e70943698f3a8105fa609f3e0c)
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=1739191810-B9avOpieQNlx9TqTQxgUMvDtLzXmi6pz-0-09f1e8c571f2a72729f23f720a0b6f40)
图9-5 不同空气污染物含量变化