A Graph-Based Framework for Traffic Forecasting and Congestion Detection Using Online Images From Multiple Cameras

A Graph-Based Framework for Traffic Forecasting and Congestion Detection Using Online Images From Multiple Cameras

Many countries across the globe face the serious issue of traffic congestion. This paper presents a low-cost graph-based traffic forecasting and congestion detection framework using online images from multiple cameras. The advantage of using a graph neural network (GNN) for traffic forecasting and d...

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Bibliographic Details
Main Authors: Bowie Liu, Chan-Tong Lam, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Traffic forecasting
traffic congestion detection
online images
graph convolutional neural networks
logistic regression
Online Access:https://ieeexplore.ieee.org/document/10379075/

Internet

https://ieeexplore.ieee.org/document/10379075/

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