Exploiting Spatiotemporal Correlations of Arrive-Stay-Leave Behaviors for Private Car Flow Prediction
IEEE Transactions on Network Science and Engineering（2022）
摘要
Accurate prediction of private car flows in urban regions is strategically vital for constructing smart cities. Private car flows are essentially reflected in the arrive-stay-leave (ASL) behaviors of car users. Specifically, to fulfill daily travel needs, private car users usually $arrive$ at specified locations, 更多
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关键词
Automobiles,Correlation,Spatiotemporal phenomena,Trajectory,Public transportation,Semantics,Data models
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