Please describe this algorithm. This algorithm deals with the Convolution neural network (CNN) and Long short-term memory (LSTM) which predict the traffic flow problem. If you need more information, please access this paper "Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion"

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Spatial features extraction module Temporal features extraction module Input flows Conv2D LSTM Starting point Xstart End point Conv 2D LSTM Xend Xt Fully connected layer Fusion Tanh Latitude Conv 2D LSTM Xlatitude Longitude Conv2D LSTM Xlongitude Fig. 6. Proposed methodology