Traffic flow prediction based on graph wave adaptive spatiotemporal graph convolution network
Mengxiao Diao,
Yansong Qu,
Lin Wu
et al.
Abstract:Graph-based traffic flow predictioning is widely applied in traffic systems, where constructing intricate spatiotemporal correlation models from relevant time series data is imperative for comprehending the dynamics of the traffic system. The extraction of features from graphical data, coupled with the integration of time series data, serves to enhance the accuracy of traffic flow predictions. Additionally, the challenge arises when real traffic flow data often contains missing values. Predicting traffic in sc… Show more
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