In this study, we propose an intelligent and green-based urban garbage collection and transportation system by combining the common software development methods and database technology. This aims to improve the urban appearance, reduce the empty-loaded rate of vehicles, and realize source traceability and transparent management of the whole process. The system is designed with Beidou positioning data as a basis and the Gaode open platform as assistance. The development of the system relies on the ThinkPHP framework based on the PHP language and the design mode of B/S architecture, and the client adopts Ajax and Web technologies for data transmission and display. The goal of this system is to provide users with real-time location and historical trajectory queries of vehicles, user management, statistical analysis, and other services. For the entire trajectory data during vehicle transportation, the system applies the Beidou series to data collection, which more effectively maintains the safety of information and technology. In the later stage, it can also be combined with machine learning and other techniques to analyze the driving behavior of drivers and the health of vehicles. In conclusion, the system combining Beidou positioning data with Internet techniques facilitates efficient management of vehicles.