-
Loading metrics
Open Access
Peer-reviewed
Research Article
Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
-
Quanchao Chen,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft
Affiliations School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China, National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
⨯ -
Di Wen,
Roles Conceptualization, Data curation, Writing – review & editing
Affiliations School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China, National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
⨯ -
Xuqiang Li,
Roles Writing – original draft
Affiliation School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China
⨯ -
Dingjun Chen ,
Roles Supervision, Writing – review & editing
* E-mail: chen-dingjun@163.com
Affiliations School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China, National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
⨯ -
Hongxia Lv,
Roles Data curation, Writing – review & editing
Affiliations School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China, National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
⨯ -
Jie Zhang,
Roles Writing – review & editing
Affiliations School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China, National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
⨯ -
Peng Gao
Roles Writing – original draft
Affiliation School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China
⨯
Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
- Quanchao Chen,
- Di Wen,
- Xuqiang Li,
- Dingjun Chen,
- Hongxia Lv,
- Jie Zhang,
- Peng Gao
- Published: September 11, 2019
- https://doi.org/10.1371/journal.pone.0222365