Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting

This research introduces integrated spatio-temporal graph convolutional networks (ISTGCN), designed to capture complex spatiotemporal traffic data patterns. The proposed model integrates multi-layer graph convolutional networks (GCNs) to address dependencies in temporal and spatial traffic dynamics....

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	graph convolutional neural network spatio-temporal data time series analysis traffic forecasting
Online Access:	https://www.mdpi.com/2076-3417/14/24/11477