With the increasing number of motor vehicles in China, the problem of road congestion is becoming more and more serious. How to quickly identify the bottleneck of urban road congestion and carry out causation mechanism analysis have become an effective way to alleviate traffic congestion. With the continuous development of intelligent transportation system, abundant traffic data sources provide us with a lot of traffic information. Therefore, this paper firstly uses floating car data to identify road congestion bottleneck section. Then, the workplace and residence distribution and residents’ OD travel characteristics of the area near the road are obtained by using mobile phone signaling data. Finally, the traffic operating conditions and road facilities of the road are analyzed by using the field survey data. The above analysis results can be combined to carry out causation mechanism analysis on congestion identification results. This study can identify the bottleneck location of road frequent congestion effectively and excavate the causes of traffic congestion from a deep level.
 

Congestion identification, Floating car data, Mobile phone signaling data, Congestion causation analysis