How to analyze passenger flow forecast in multiple dimensions

First of all, while forecasting passenger flow, we need to exclude external factors that may affect passenger flow. 1, weather, 2, holidays, 3, surrounding environment, 4, promotional activities, etc. will all cause a large number of passenger flow increases or decreases, so it is first and foremost to predict passenger flow more accurately and avoid these situations.

In addition, the predicted passenger flow can be analyzed from three dimensions: time, space and people, such as how many people appear in a certain place at a certain time; How many people are in the same place at different times of the day; Which area has the largest population at the same time on this day; The number of people in different areas at different times of the day, etc., can slowly predict how many passengers may pass through this place on a certain day.

In fact, there are many tools for passenger flow forecasting, and elegant passenger flow statistics is also such a tool for passenger flow forecasting. It collects front-end data and generates data reports in the background system, so the accumulated data for a long time can greatly improve the control of passenger flow.