A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction-Reference-Cited by-同舟云学术

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A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction

Published:2024-09 Issue:3 Volume:7 Page:621-636
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Zhou Bodong¹,Liu Jiahui²,Cui Songyi³,Zhao Yaping²

Affiliation:

1. Shanghai EchoBlend Internet Technology Co. Ltd.,Technical Consulting Department,Shanghai,China,201111

2. The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077

3. The University of Hong Kong,Department of Industrial and Manufacturing Systems Engineering,Hong Kong,China,999077

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx8/8254253/10654612/10654669.pdf?arnumber=10654669

Reference64 articles.

1. A Survey on Urban Traffic Management System Using Wireless Sensor Networks

2. Automated and Cooperative Vehicle Merging at Highway On-Ramps

3. Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways

4. IoT Based Intelligent Transportation System (IoT-ITS) for Global Perspective: A Case Study

Cited by 2 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. Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks;Information Fusion;2025-02

2. House Price Prediction: A Multi-Source Data Fusion Perspective;Big Data Mining and Analytics;2024-09

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