Urban traffic flow online prediction based on multi‐component attention mechanism-Reference-Cited by-同舟云学术

Urban traffic flow online prediction based on multi‐component attention mechanism

Published:2020-08-03 Issue:10 Volume:14 Page:1249-1258
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET intell. transp. syst

Author:

Sun Bo¹^ORCID,Sun Tuo²,Zhang Yujia¹,Jiao Pengpeng³

Affiliation:

1. Beijing Advanced Innovation Center for Future Urban DesignBeijing University of Civil Engineering and ArchitectureBeijing100044People's Republic of China

2. Key Laboratory of Road and Traffic Engineering of the Ministry of EducationTongji UniversityShanghai201804People's Republic of China

3. Beijing Urban Transportation Infrastructure Engineering Technology Research CenterBeijing University of Civil Engineering and ArchitectureBeijing100044People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2020.0004

Reference49 articles.

1. Short-term traffic forecasting: Where we are and where we’re going

2. High-Speed Data-Driven Methodology for Real-Time Traffic Flow Predictions: Practical Applications of ITS

3. ImageNet classification with deep convolutional neural networks

4. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

5. Perspectives on Future Transportation Research: Impact of Intelligent Transportation System Technologies on Next-Generation Transportation Modeling

Cited by 19 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. A spatial-temporal attention method for the prediction of multi ship time headways using AIS data;Ocean Engineering;2024-11

2. A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction;Engineering Applications of Artificial Intelligence;2024-07

3. Bridge crack segmentation and measurement based on SOLOv2 segmentation model;Journal of Measurements in Engineering;2024-05-23

4. Construction of Dynamic Traffic Pattern Recognition and Prediction Model Based on Deep Learning in the Background of Intelligent Cities;IEEE Access;2024

5. Bus-Passenger-Flow Prediction Model Based on WPD, Attention Mechanism, and Bi-LSTM;Sustainability;2023-10-15