Modeling Network-level Traffic Flow Transitions on Sparse Data
Modeling Network-level Traffic Flow Transitions on Sparse Data
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DOI：
10.1145/3534678.3539236
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发表时间：
2022-08
期刊：
影响因子：
--
通讯作者：
Xiaoliang Lei;Hao Mei;Bin Shi;Hua Wei
中科院分区：
文献类型：
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作者：
Xiaoliang Lei;Hao Mei;Bin Shi;Hua Wei
对城市环境中网络级交通流的变化进行建模，对于交通、公共安全和城市规划等方面的决策具有重要意义。交通流系统可以被看作是在状态之间转换的动态过程（例如，traf
Modeling how network-level traffic flow changes in the urban environment is useful for decision-making in transportation, public safety and urban planning. The traffic flow system can be viewed as a dynamic process that transits between states (e.g., traf