Predicting traffic propagation flow in urban road network with multi-graph convolutional network

Predicting traffic propagation flow in urban road network with multi-graph convolutional network

Abstract Traffic volume propagating from upstream road link to downstream road link is the key parameter for designing intersection signal timing scheme. Recent works successfully used graph convolutional network (GCN) and specific time-series model to forecast traffic flow by capturing the spatial–...

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Bibliographic Details
Main Authors:	Haiqiang Yang, Zihan Li, Yashuai Qi
Format:	Article
Language:	English
Published:	Springer 2023-06-01
Series:	Complex & Intelligent Systems
Subjects:	Traffic prediction Traffic propagation flow Spatial–temporal features Graph convolutional network
Online Access:	https://doi.org/10.1007/s40747-023-01099-z

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