- 智慧交通:高速公路移动大数据分析
- 高鸿
- 309字
- 2024-07-24 11:24:08
![](https://epubservercos.yuewen.com/D77F20/30114628804172806/epubprivate/OEBPS/Images/7-8.jpg?sign=1739550646-0Wl51Ev0R4TMMXzQaYiIQYIUnuvgd6vj-0-635c671070cafa2f146e44d60fd08a70)
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=1739550646-u27o5rcaFKw2Z9uid4klvvH2kvwmFZij-0-ef2b388a713783d82343a2798d31e959)
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=1739550646-aDLToTpmtZ97j578cTLwdt00BnJobOPc-0-096eda450fa720f722116258eb632e95)
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=1739550646-CEK2joJdRdwxjad48nORHqL3lTv4lLkt-0-a016b08b6444d138912f36fc877ddad2)
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=1739550646-wlpYtucgQfUEgUu60krjQetZBGdfBM1T-0-e690dcd64bccb65c7834b1bf7b16d84f)
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=1739550646-jWpCYn8nJ5PIgv5ww6mdjOYCKSPGPeWa-0-495439e387a2700c583da365c784317a)
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=1739550646-z74FRB9s0NAQgqAR5RlhkiPjGQukkl4h-0-b0e1b28cfbbd79c9a17c8f1138a6e400)
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=1739550646-BPvJxiKTNr13P0dxkdoQHNLb4pHvNAPo-0-fef2fbd176b3b1a81cdf88331cefd79c)
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=1739550646-KHtS94EUedAbK0akv6Bz2CqCo3hyxO9j-0-f5dfe9a1dc4973d3d5d0f65f7ffb2549)
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=1739550646-CGf2Bv5FmRbVysD2X7HWxdN9tNx97w5K-0-26d767e3715081b192760d8487755f9a)
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=1739550646-ku9ZHgIki2kJvcz9Mz5RwQJXup20NnYK-0-f46c54ed7d9b28f699e7e11c2ba43c77)
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=1739550646-HKbjJN3vnoVFIYHKf1OtNgX0mb0bB1MD-0-8cf066651d92ad4aab84dff6de2ab525)
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=1739550646-dmmQbuJvrqOKdATan8osmVj70Xyjb2hx-0-388ae366fd6d22fd10b9af0839bc65d1)
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=1739550646-wSAOWNR4bApe84gyFnMDE9nrvsaTuL9j-0-83adcd1cd3914cd5cd0382ab0718233b)
图9-5 不同空气污染物含量变化