Research on Collaborative Scheduling Optimization of Multi-Type Shared Bicycles

In recent years, shared bicycles, as a new type of green transportation, have become increasingly popular in major cities in China. In response to the problems of parking chaos and borrowing difficulties during the operation of shared bicycles, the multi-type multi-depot static shared bicycle scheduling problem with time windows (MTMDSSBSPTW) is studied, a mathematical model through which the goal of minimizing transportation costs and maximizing user satisfaction is established, and then LINGO software is used to verify the accuracy of the model. Results indicate that the model is suitable for static scheduling optimization of shared bicycles and has achieved satisfactory results. This study has certain practical value for improving operational efficiency and service level of shared bicycles and reducing operating costs.