Highway Traffic Flow Prediction Supporting Multi-Traffic Parameter Detection-Reference-Cited by-同舟云学术

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Highway Traffic Flow Prediction Supporting Multi-Traffic Parameter Detection

Published:2023-11-17 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Intelligent Computing and Next Generation Networks（ICNGN)
language:
Short-container-title:

Author:

Zhu Ruixin¹,Chen Ling²,Jiang Xinyu³,Wang Beilei²

Affiliation:

1. Liaoning Expressway Intelligent Transportation Co., Ltd.,Deputy Manager. Liaoning Expressway Intelligent Transportation Co., Ltd.,Shenyang,China

2. Northeastern University,Software College. Northeastern University,Shenyang,China

3. Beijing Institute of Technology Beijing Institute of Technology,School of Computer Science and Technology,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10395908/10396664/10396679.pdf?arnumber=10396679

Reference10 articles.

1. Research on Forecast of Rail Traffic Flow Based on ARIMA Model

2. Short-term traffic flow prediction using seasonal ARIMA model with limited input data

3. Prophet model and Gaussian process regression based user traffic prediction in wireless networks

4. Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction

5. Short-term traffic flow prediction with LSTM recurrent neural network

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