US Patent Issued to ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY on Sept. 30 for "Short-term traffic flow prediction method based on causal gated-low-pass graph convolutional network" (Chinese Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,431,013, issued on Sept. 30, was assigned to ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY (Hangzhou, China).

"Short-term traffic flow prediction method based on causal gated-low-pass graph convolutional network" was invented by Xing Xu (Hangzhou, China), Hao Mao (Hangzhou, China) and Yun Zhao (Hangzhou, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A short-term traffic flow prediction method based on a causal gated-low-pass graph convolutional network can include constructing a causal gated-low-pass graph convolutional network, where the causal gated-low-pass graph convolutional network includes a causal gated-low-pass convolutional block. The ...