Assessing injury severity of secondary incidents using support vector machines-Reference-Cited by-同舟云学术

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Assessing injury severity of secondary incidents using support vector machines

Published:2020-05-06 Issue:2 Volume:14 Page:197-216
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Li Jing¹^ORCID,Guo Jingqiu¹,Wijnands Jasper S.²,Yu Rongjie¹,Xu Chengcheng³,Stevenson Mark²

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China

2. Transport, Health and Urban Design Research Hub, The University of Melbourne, Melbourne, Australia

3. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, China

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2020.1754983

Reference47 articles.

1. Real-time crash prediction in an urban expressway using disaggregated data

2. Investigating driver injury severity patterns in rollover crashes using support vector machine models

3. Identifying Primary and Secondary Crashes from Spatiotemporal Crash Impact Analysis

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