Robust Traffic Speed Inference With Ensemble Learning-Reference-Cited by-同舟云学术

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Robust Traffic Speed Inference With Ensemble Learning

Published:2022-10 Issue:10 Volume:23 Page:17241-17257
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yang Zhou¹^ORCID,Sun Heli¹^ORCID,Huang Jianbin²^ORCID,He Liang¹,Jia Xiaolin¹,Zhao Jizhong¹,Qiao Shaojie³^ORCID

Affiliation:

1. Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China

2. School of Computer Science and Technology, Xidian University, Xi’an, China

3. School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China

Funder

National Key Research and Development Program of China

National Science Foundation of China

Science Foundation of Distinguished Young Scholars of Shaanxi

Key Research and Development Program of Shaanxi

Big Mobility Rhino-bird Special Research Program of Tencent

Innovation Capability Support Plan of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09843850.pdf?arnumber=9843850

Reference56 articles.

1. Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

2. GE-GAN: A novel deep learning framework for road traffic state estimation

3. Combining kohonen maps with arima time series models to forecast traffic flow

4. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results

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1. Urban traffic volume estimation using intelligent transportation system crowdsourced data;Engineering Applications of Artificial Intelligence;2023-11

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