The advances in the application research of information fusion technologies in traffic data are reviewed. Based on the idea of the Internet of Things, this paper studies the multi-source information fusion technologies of urban public traffic data, including GIS data, GPS data, bus RFID data, public bike RFID data, MIS systems data, graphics data, etc. A framework for building traffic information fusion system for complex multi-source public traffic data is presented and described in detail. Based on the internet of vehicles, berths, stop signs, gas stations, service stations, collection boxes and other hard wares, we select and apply the appropriate information fusion technologies for the urban public intelligent transportation systems for the whole process of maintenance, operations, and scheduling, emergency treatment. A case study with real data derived from Hangzhou city of China demonstrates the effectiveness and efficiency of our approach.