Zhanguo Song: Role: Data curationRole: MethodologyRole: SoftwareRole: Writing – original draft
Yanyong Guo: Role: Funding acquisitionRole: Writing – review & editing
Yao Wu: Role: SoftwareRole: Writing – original draft
Ma Jing: Role: ResourcesRole: Writing – original draft
Jinjun Tang: Role: Editor
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
26
June
2019
Publication date Collection: 2019
Volume: 14
Issue: 6
Electronic Location Identifier: e0218626
Affiliations
[1
]
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu, China
[2
]
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies,
Southeast University, Nanjing, Jiangsu, China
[3
]
Intelligent Transportation System Research Center, Southeast University, Nanjing,
Jiangsu, China
[4
]
School of Transportation, Southeast University, Nanjing, Jiangsu, China
[5
]
Periodical Office, Chang’an University, Xi’an, Shaanxi, China
Central South University, CHINA
Author notes
Competing Interests: The authors have declared that no competing interests exist.
Article
Publisher ID:
PONE-D-19-04733
DOI: 10.1371/journal.pone.0218626
PMC ID: 6594624
PubMed ID: 31242226
SO-VID: 2c86ff01-b731-4cc4-b067-3367bbfdcf12
Copyright © © 2019 Song et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Funded by: the National Natural Science Foundation of China
Award ID: 71701046
Award Recipient
:
Yanyong Guo
This research was supported by the National Natural Science Foundation of China (71701046
to YG), the China Postdoctoral Science Foundation Funded Project (2017M571644; 2018T110427),
the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX18_0151),
the Fundamental Research Funds for the Central Universities (2242017K40130; YBJJ1533),
and the Scientific Innovation Research of College Graduates in Jiangsu Province (KYLX_0173).
The funders had no role in study design, data collection and analysis, decision to
publish, or preparation of the manuscript.
Subject:
Research Article
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Artificial Neural Networks
Subject:
Biology and Life Sciences
Subject:
Computational Biology
Subject:
Computational Neuroscience
Subject:
Artificial Neural Networks
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Computational Neuroscience
Subject:
Artificial Neural Networks
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Support Vector Machines
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Algebra
Subject:
Polynomials
Subject:
Computer and Information Sciences
Subject:
Neural Networks
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Neural Networks
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Mathematical Functions
Subject:
Engineering and Technology
Subject:
Control Engineering
Subject:
Control Systems
Subject:
Computer and Information Sciences
Subject:
Systems Science
Subject:
Control Systems
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Systems Science
Subject:
Control Systems
