Research on Location and Scheduling Optimization Model of Shared Cars Based on Big Data

Abstract

With the rapid development of society, car sharing has become an indispensable resource in the city, which has many advantages. At present, many cities are developing rapidly, and sharing travel is an important way for urban residents to travel in the future. Then comes the problem of location selection of shared car stations, such as imbalance of supply and demand, unreasonable location, poor scheduling, etc. By optimizing the location and scheduling model, we can keep the sharing car green, efficient and convenient, which is the future development trend of urban transportation. By optimizing the site layout, we can meet people’s travel needs, which will improve social benefits. Firstly, based on computer big data, this paper analyzes the influencing factors of location selection of shared vehicles. Then, the basic operation flow of genetic algorithm is proposed. At last, the optimization model is put forward.