SHORT-TERM SUBWAY PASSENGER FLOW PREDICTION METHOD, SYSTEM AND ELECTRONIC DEVICE

摘要

A short-term subway passenger flow prediction method, a system and an electronic device. The prediction method comprises: first, collecting subway source data (a); a feature extraction module extracts a passenger flow feature matrix, constructs a directed weighted graph of the subway, and builds a proximity matrix of a target station (b); according to the extracted passenger flow feature matrix and the proximity matrix of the target station, building a graph convolutional neural network model to predict the passenger flow of the target station in the next time period (c); finally, outputting the passenger flow prediction value of the target station in the next time period (d). Considering not only a time factor but also a space factor of the subway, the features of short-term passenger flow are more effectively predicted, and the accuracy of short-term subway passenger flow prediction is improved.