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Open Access

Peer-reviewed

Research Article

Roadway traffic crash prediction using a state-space model based support vector regression approach

Chunjiao Dong,

Roles Investigation, Methodology, Writing – original draft

Affiliation Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Shangyuancun, Haidian District, Beijing, China

http://orcid.org/0000-0003-1375-0794

⨯
Kun Xie ,

Roles Data curation, Software

* E-mail: XIEKUN@BJTU.EDU.CN

Affiliation National Demonstration Center for Experimental Traffic and Transportation Education, School of Traffic and Transportation, Beijing Jiaotong University, Shangyuancun, Haidian District, Beijing, China
⨯
Xubin Sun,

Roles Investigation, Validation

Affiliation School of Electronic and Information Engineering, Beijing Jiaotong University, Shangyuancun, Haidian District, Beijing, China
⨯
Miaomiao Lyu,

Roles Validation, Writing – review & editing

Affiliation School of Transportation and Logistics, Southwest Jiaotong University, Jinniu District Chengdu, China
⨯
Hao Yue

Roles Data curation, Software

Affiliation Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Shangyuancun, Haidian District, Beijing, China
⨯

Roadway traffic crash prediction using a state-space model based support vector regression approach

Chunjiao Dong,
Kun Xie,
Xubin Sun,
Miaomiao Lyu,
Hao Yue

x

Published: April 5, 2019
https://doi.org/10.1371/journal.pone.0214866

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