With the rapid development of mobile networks and communication technologies, ubiquitous big data provides new data sources for scientific research, urban planning and other fields. In the transportation field, the GPS data of taxis is a hot topic in recent years. This paper analyzed and processed the taxi GPS data of Chicago over the years and introduced it into ARCGIS for map matching to sense the traffic conditions of the city. On this basis, the travel time and spatial distribution of Chicago residents and the change of taxi occupancy rate were obtained, and the hotspot area of residents' travel was predicted by clustering algorithm. This search will provide a basis for urban traffic managers to carry out traffic planning and management.

CICTP