Traffic Flow Prediction Based on Traffic and Meteorological Data Fusion in Non-stationary Environments-Reference-Cited by-同舟云学术

Traffic Flow Prediction Based on Traffic and Meteorological Data Fusion in Non-stationary Environments

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA)
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Author:

Xiao Hongbo¹,Xiao Jianhua¹,Deng Xiaowu¹,Li Liyun¹

Affiliation:

1. School of Computer Science and Engineering, Huaihua University,Huaihua,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707140/9707178/09707424.pdf?arnumber=9707424

Reference10 articles.

1. Linear support vector regression with linear constraints

2. Customizing SVM as a base learner with AdaBoost ensemble to learn from multi-class problems: A hybrid approach AdaBoost-MSVM

3. Artificial neural network optimisation for monthly average daily global solar radiation prediction

4. Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks;liu;IEEE Transactions on Intelligent Transportation Systems,2020

5. Extremely randomized trees

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