The application relates to the technical field of
data prediction, and provides a traffic jam prediction method for an accident high-
risk area, which comprises the following steps: extracting the connection relationship between different detection points, the width of a road and the
traffic flow of the detection points, determining the connection characteristic value of the detection points, and establishing the
traffic flow vector and the
traffic flow matrix of the detection points; establishing a connection
characteristic matrix, a selectable path matrix and a traffic flow
similarity matrix, and determining the fusion
traffic characteristic matrix at a
collection time; using a sine function to
encode the
collection time, obtaining the time point encoding value of the
collection time, and obtaining traffic flow prediction data; and according to whether the collection time is within the rush hours of a workday, the traffic flow prediction data and the width of the road where the detection point is located, realizing traffic jam prediction. The application can improve the accuracy of traffic jam prediction.