Traffic flow distribution prediction method, traffic flow distribution prediction device and terminal equipment

Abstract

The invention is suitable for the technical field of artificial intelligence, and provides a traffic flow distribution prediction method, a traffic flow distribution prediction device and terminal equipment. The method comprises the steps of: dividing a to-be-predicted area into at least one local area; acquiring the traffic flow of each local area in at least one historical time period preset before a to-be-predicted time period; generating at least one flow distribution matrix according to each traffic flow; and inputting the at least one flow distribution matrix into a trained prediction model to obtain a predicted traffic flow of each local area, the prediction model predicting the predicted traffic flow of each local area based on the at least one flow distribution matrix and the position feature vector of each local area, and each position feature vector being obtained by training the prediction model and used for representing the position of the corresponding local area in the to-be-predicted area. Through the method, the accuracy of traffic flow prediction of the to-be-predicted area can be improved. 本申请适用于人工智能技术领域，提供了一种交通流量分布预测方法、交通流量分布预测装置及终端设备，所述方法包括：将待预测区域划分为至少一个局部区域；获取各个局部区域在待预测时间段之前预设的至少一个历史时间段内的交通流量；根据各个交通流量生成至少一个流量分布矩阵；将所述至少一个流量分布矩阵输入至训练后的预测模型，得到各个局部区域的预测交通流量，其中，所述预测模型基于所述至少一个流量分布矩阵和各个局部区域的位置特征向量预测出各个局部区域的预测交通流量，每个位置特征向量通过训练所述预测模型得到，用于表示对应的局部区域在所述待预测区域中的位置。通过上述方法，可以提高待预测区域的交通流量预测的准确性。