Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences-Reference-Cited by-同舟云学术

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Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences

Published:2012 Issue:3 Volume:6 Page:292
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intell. Transp. Syst.

Author:

Chang H.,Lee Y.,Yoon B.,Baek S.

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-its.2011.0123?crawler=true&mimetype=application/pdf

Reference79 articles.

1. Should we use neural networks or statistical models for short-term motorway traffic forecasting?

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1. Predicting spatio-temporal traffic flow: a comprehensive end-to-end approach from surveillance cameras;Transportmetrica B: Transport Dynamics;2024-07-22

2. Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm;Information Processing & Management;2024-07

3. Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning;IEEE Transactions on Intelligent Transportation Systems;2024-07

4. A spatial‐temporal graph gated transformer for traffic forecasting;Transactions on Emerging Telecommunications Technologies;2024-06-26

5. Graph Convolutional Gated Recurrent Unit Network for Traffic Prediction Using Loop Detector Data;Advances in Data Science and Adaptive Analysis;2024-04

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