The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 14, 2025

Filed:

Jun. 02, 2022
Applicant:

East China Jiaotong University, Nanchang, CN;

Inventors:

Xiaohui Huang, Nanchang, CN;

Yuming Ye, Xingning, CN;

Jiahao Ling, Changsha, CN;

Yuan Jiang, Nanchang, CN;

Liyan Xiong, Nanchang, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 1/01 (2006.01); G06F 17/17 (2006.01);
U.S. Cl.
CPC ...
G08G 1/0129 (2013.01); G06F 17/17 (2013.01);
Abstract

Disclosed is a traffic flow forecasting method based on a multi-mode dynamic residual graph convolution network, including following steps: constructing a relationship matrix and an adaptive matrix to learn the site dependence relationship for historical traffic data of traffic stations; using multi-mode dynamic graph convolution to extract traffic characteristics corresponding to different traffic modes; embedding the graph convolution into the gated cyclic neural network to realize the combination of space dependence and time dependence of traffic flow; connecting the network by using the dynamic residual, and combining the input traffic data with the decoding data to obtain the final forecasting value. The application utilizes two different methods to construct adjacency matrix, effectively captures traffic flow characteristics corresponding to different traffic modes, and dynamically fuses traffic flow characteristics of two different modes.


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