Research on Short-term Traffic Flow Prediction Based on KNN-GRU-Reference-Cited by-同舟云学术

Research on Short-term Traffic Flow Prediction Based on KNN-GRU

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
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Author:

Zhou Lingfeng¹,Zhang Qingyong¹,Yin Conghui¹,Ye Wenxin²

Affiliation:

1. Wuhan University of Technology,School of Automation,Wuhan,China

2. Wuhan University of Technology,School of Computer and Artificial Intelligence,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055164.pdf?arnumber=10055164

Reference15 articles.

1. Short-term Traffic Flow Forecast Based on Combination of K Nearest Neighbor Algorithm and Support Vector R egression;liu;Journal of highway and transportation research and development,2017

2. Detection and Analysis of Traffic Congestion in Activity Center Based on Visualization;lin;Modern Computer,2020

3. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling;chung;ArXiv eprint,2014

4. Link traffic speed forecasting using convolutional attention-based gated recurrent unit;khodabandelou;Applied Intelligence,2020

5. Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

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