Injury prediction algorithm for rear‐seat occupants in advanced automatic crash notification systems-Reference-Cited by-同舟云学术

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Injury prediction algorithm for rear‐seat occupants in advanced automatic crash notification systems

Published:2021-12-05 Issue: Volume: Page:
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET intell. transp. syst

Author:

Lu Ying¹^ORCID,Liu Yufa¹^ORCID,Shu Yu²,Yin Yuezhou¹

Affiliation:

1. School of Automotive and Traffic Engineering Jiangsu University Zhenjiang 212013 China

2. Neurology Department The Fourth Affiliated People's Hospital of Jiangsu University Zhenjiang 212000 China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12153

Reference36 articles.

1. Augenstein J. Perdeck E. Bahouth G.T. et al.:Injury identification: Priorities for data transmitted. In:19th International Technical Conference on the Enhanced Safety of Vehicles.Washington DC(2005)

2. Barrier‐relevant crash modification factors and average costs of crashes on arterial roads in Indiana;Zou Y.;Accid. Anal. Prev.,2018

3. Serious injury prediction algorithm based on large-scale data and under-triage control

4. Development of a detailed human neck finite element model and injury risk curves under lateral impact;Frank M.;J. Mech. Behav. Biomed. Mater.,2021

5. Statistical means of the assessment of the passive safety of road vehicles;Balaev E.Y.;IOP Conf. Ser.: Mater. Sci. Eng.

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