![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=1738915089-G0Nm05UYr2WxfL9s9gItsjRWuNKpuQRr-0-a61d1fc34e290bebbcecff46f453ef28)
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=1738915089-eJkcFpdJddsUZhff8rYi6heEprGgxvDV-0-a3fab2190681776f6dee812476f58779)
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=1738915089-9xTz7cmTISbyP0it8b3FqdcwYEk7GWFG-0-e45a2696bf92d7dc72dc202f0c7b8086)
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=1738915089-pJEIEmLswPETezPBaCs9SVdQXHOE7Uut-0-3c7ab189e7ef9616e465ed8bd5ad881f)
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=1738915089-l3GZlK8Lbr23NotjqrHfLcXbdOx3ZZt0-0-8332e2de08ef3a4608e66ec74de6b334)
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=1738915089-9gzHjEWM38Xtj66OAq7cXWv1ynWgZxB0-0-0fdd12d4deaf479bfa0ba07ede04b542)
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=1738915089-Hk2PM5CeuBPYSw8EQK4mudBD4tm7LEXv-0-59fc4748d4304ddbf613830db75f8c69)
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=1738915089-J7XwsnAZeqj0UgjFipa1IiQ8yRCNeZLI-0-cb27428f4a004b006bfd8908e55d17bc)
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=1738915089-igBhECrc269Eu1LkJ9gJMcEPbZCClHpc-0-2efb764a47a507a03caa409512113e87)
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=1738915089-gGtsfgPGuuFqvawobKvSnvmp2APj00H7-0-c2f942515b542a910b75d47d2ce6c405)
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=1738915089-5WT4h5Tf2yDvpPTByTQoJ9uXtdgiR1HJ-0-92c803fd9e7b8d2dbc13152fa21eb89e)
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=1738915089-BvdqdDaSBUFB6Bc392RVWdMGyPhEX4mW-0-600fbd2dc3b23de5a02df94fe5d5d46a)
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=1738915089-UHtqtDmb0r6lfo3ioMDB8U3YJDcRqEJv-0-83b4fcc10eb4a35ad3aaa72e5a705ae1)
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=1738915089-Kzzkec666fbTk3ZshI7zu5IyYxETnsse-0-58e723a2809460acc7bb9a56dfb877d9)
图9-5 不同空气污染物含量变化