The invention belongs to the field of traffic condition prediction, and relates to a method for discovering congestion points, congestion lines and congestion areas based on a composite network. The composite network in the method is composed of two or more sub networks and connecting edges between the sub networks. The sub networks are independent networks constituting the composite network. Thecomposite network includes an intersection network and a sensor network. The sensor network takes traffic sensors at intersections as nodes, and the sensors are related by connecting edges. The intersection network takes intersections as nodes, and connecting edges are established according to whether the intersections can be connected. On the basis of the intersection network, the definitions ofa congestion index, a congestion point, a congestion line and a congestion area are given. Calculation is carried out based on the network structure. The method specifically comprises the steps as follows: first, defining a congestion index Ti, a congestion point, a congestion line and a congestion area; then, quantifying the congestion level; and finally, analyzing and calculating congestion points, congestion lines and congestion areas. The method is designed ingeniously, has good operability and practicability, and has a wide market prospect.