Traffic Flow Prediction Method Based on Improved Optimization Algorithm Mixed Kernel Extreme Learning Machine-Reference-Cited by-同舟云学术

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Traffic Flow Prediction Method Based on Improved Optimization Algorithm Mixed Kernel Extreme Learning Machine

Published:2024-04-26 Issue: Volume:42 Page:54-58
ISSN:
Container-title:International Conference on Algorithms, Software Engineering, and Network Security
language:
Short-container-title:

Author:

Yu Jianyou¹^ORCID,Feng Zhigang²^ORCID,Ju Liang¹^ORCID,Pan Xiu³^ORCID,Ge Jiqiang⁴^ORCID,Chen Yusen⁵^ORCID

Affiliation:

1. Hebei Expressway Yanchong Preparation Office, China

2. Hebei Expressway Zhangcheng Chengde Management Office, China

3. Hebei Provincial Communications Planning and Design Institute Co.,Ltd., China

4. School of Traffic and Transportation, Beijing Jiaotong University, China

5. Beijing Waystone Information Technology Co.,Ltd, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3677182.3677194

Reference10 articles.

1. Meng M. Toan T. D. Wong Y. D. Lam S. H. 2022. Short-term travel-time prediction using support vector machine and nearest neighbor method. Transportation research record. 2676: 353-365.

2. Liu J. 2022. Short-term traffic flow prediction based on SVM and neural network combined model. Computer Knowledge and Technology. 18: 6-8.

3. Improved whale algorithm and its application in short-term traffic flow prediction;Hu S.;Journal of Chinese Computer Systems.,1627-1632.,2021

4. Guo J. Cui S. GUO J. Yao D. Sun G. 2022. Ultra-short-term load prediction based on VMD-SSA-HKELM. Foreign Electronic Measurement Technology. 41: 105-111.

5. Photovoltaic power prediction based on entropy weight - grey correlation method and ISMA-HKELM;Wan J.;Electrotechnical Application.,2023

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