Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting

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