Abstract The frequency of road network data update will have a certain impact on people's travel and road service levels. Traditionally, road information is extracted and updated from data such as mobile rover vehicles, satellite images, LIDAR point clouds etc with a long cycle and high cost. With the continuous development of satellite positioning and Internet technology, smart mobile devices have become popular. Due to its large amount of data, wide coverage and strong currency, the extraction of road network information and traffic data based on crowdsourcing GPS trajectory data has become a hot spot in current research and application. This paper starts with the process of extracting the road network based on the Crowdsourcing GPS trajectory data, summarizes some research results in recent years at home and abroad, discusses the characteristics of the Crowdsourcing GPS trajectory and the method of using the Crowdsourcing GPS trajectory data to extract the road network. It summarizes the characteristics and shortcomings of different methods, and aims to provide some useful ideas for road network extraction research. Key Words: Crowdsourcing GPS trajectory; road network extraction；The characteristics of Crowdsourcing GPS trajectory

CICTP