Researchers from South China University of Technology Describe Findings in Networks (Forecasting Traffic Flow With Spatialtemporal Convolutional Graph Attention Networks)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Networks have been published. According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Traffic flow prediction is crucial for intelligent transportation system, such as traffic management, congestion alleviation and public risk assessment. Recently, attention mechanism and deep neural networks are utilized to capture traffic dependencies.”