City traffic forecast based on deep learning

Abstract

In this paper the long-term and short-term memory(LSTM)model and the DeepST-ResNet model were both studied and analyzed. Based on the real data of Xi' an Didi travel, the above models were compared and tested to analyze the advantages and disadvantages of each model according to which a better model was proposed and the preliminary work and preparation was conducted.