The invention, which belongs to the field of traffic big data application, discloses an urban traffic situation sensing method and a visualization method. According to the invention, urban floating car GPS data, electric police pass data, video monitoring data and mobile phone signaling data are transmitted to a big data analysis platform in real time; with utilization of video recognition, big data analysis, data fusion, internet, visualization and other technologies, multi-source traffic data fusion is realized; precise macroscopic, mesoscopic and microscopic parameters including the urban traffic operation index, road segment driving speed, and intersection flowing capacity and the like are obtained; and different levels of parameters reflecting the urban traffic situation are displayedat one map by using a visualized interface. Therefore, the comprehensive, full-space-time, full-coverage urban traffic operation situation is displayed precisely.