Prediction model of public transport vehicle allocation based on multiple regression analysis

The spread of "urban disease" seriously affects urban production, and citizen's life and health. The development of urban public transport is a good way to alleviate urban diseases, and scientific public transport vehicle allocation is a necessary condition to ensure green traffic travel. This study first analyzes the public transport vehicle allocation method based on passenger flow prediction, then gives the multiple regression model with public transport vehicle share rate, city area and population as constraints, and verifies the model with examples to provide theoretical support for the scientific allocation of urban buses.