Intersection traffic flow prediction based on deep neural network

In order to solve the increasingly serious problem of intersection traffic congestion, an intersection traffic flow prediction method based on deep neural network is proposed. The principle of deep neural network is used to construct the intersection traffic congestion management system, standardize the intersection traffic flow evaluation algorithm, and reasonably predict and manage the intersection traffic flow. Finally, the experiment proves that the intersection traffic flow prediction method based on deep neural network has high practicability and accuracy in the process of practical application, and fully meets the research requirements.