Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks

Traffic flow prediction plays a key role in the construction of intelligent transportation system. However, due to its complex spatio-temporal dependence and its uncertainty, the research becomes very challenging. Most of the existing studies are based on graph neural networks that model traffic flo...

Celý popis

Podrobná bibliografia

Vydané v:	Computers, materials & continua Ročník 78; číslo 3; s. 4343 - 4361
Hlavní autori:	Liu, Yunchang, Wan, Fei, Liang, Chengwu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Henderson Tech Science Press 2024
Predmet:	Algorithms Artificial neural networks Convolution Flow graphs Graph neural networks Intelligent transportation systems Nodes Predictions Spatiotemporal data Traffic flow Traffic models Transportation networks
ISSN:	1546-2226, 1546-2218, 1546-2226
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!