Point location passenger flow volume prediction method based on point location fragment passenger flow

The invention discloses a point location passenger flow prediction method based on point location fragment passenger flow, and the method specifically comprises the steps: firstly collecting offline data, including a large number of point location continuous long-period passenger flow samples, location information, site information, point location information, environment information, surrounding information, environment information, merchant brand information and the like; constructing fragment passenger flow samples, and performing data processing, feature engineering and model training; then collecting and constructing a fragment passenger flow video, and establishing a fragment video people counting model; and finally, predicting a passenger flow result set, such as the daily passenger flow, the monthly daily average passenger flow and the annual monthly daily average passenger flow, of the required point location according to the input clip video sample and the information, such as the time, the position