A Graph-Based Framework for Traffic Forecasting and Congestion Detection Using Online Images From Multiple Cameras-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:3756-3767
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Bowie¹^ORCID,Lam Chan-Tong¹^ORCID,Ng Benjamin K.¹^ORCID,Yuan Xiaochen¹^ORCID,Im Sio Kei²^ORCID

Affiliation:

1. MPU-UC Joint Research Laboratory in Advanced Technologies for Smart Cities, Faculty of Applied Sciences, Macao Polytechnic University, Macau, China

2. Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Macao Polytechnic University, Macau, China

Funder

The Science and Technology Development Fund, Macau SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10379075.pdf?arnumber=10379075

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced optimization-based weighted features for ensemble deep learning smart occupancy detection network for road traffic parking;Journal of Network and Computer Applications;2024-10

2. Multi-Model Traffic Forecasting in Smart Cities using Graph Neural Networks and Transformer-based Multi-Source Visual Fusion for Intelligent Transportation Management;International Journal of Intelligent Transportation Systems Research;2024-08-16

3. Modeling of traffic at a road crossing and optimization of waiting time of the vehicles;Alexandria Engineering Journal;2024-07

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