Rail transit new line access passenger flow prediction method based on data driving

The invention discloses a rail transit new line access passenger flow prediction method based on data driving, and relates to the technical field of rail transit. The invention discloses a method for predicting the access passenger flow of a new rail transit line based on data driving. The prediction method comprises the following steps: S1, counting the passenger flow data of the existing stations of the whole rail transit line network; s2, acquiring external data of a rail transit whole-line website point; s3, according to the station passenger flow data and the station external data, establishing a matching relation model between the station external data and the station passenger flow data; and S4, according to the matching relation model, predicting the rail transit whole-line website point passenger flow after the new line is accessed. According to the method, on the basis of the historical data of the existing stations, prediction is performed according to the influence factors of the rail transit pass