A framework for rapid on-board deterministic estimation of occupant injury risk in motor vehicle crashes with quantitative uncertainty evaluation

Author:

Bance Iason,Yang SaiChao,Zhou Qing,Li ShengBo,Nie BingBing

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Reference44 articles.

1. World Health Organization. Global Status Report on Road Safety 2018. Geneva: World Health Organization, 2018. 122

2. Lee E, Wu J, Kang T, et al. Estimate of mortality reduction with implementation of advanced automatic collision notification. Traffic Injury Prevention, 2017, 18: S24–S30

3. Seekins T, Blatt A, Flanigan M. Automatic crash notification project: Assessing montanas motor vehicle crash and related injury data infrastructure. Final Report. FHWA, U.S. Department of Transportation, 2013

4. Lubbe N, Kiuchi T. Injury estimation for advanced automatic collision notification (AACN) in Germany. Expert Symposium on Accident Research, 2014

5. Yoshida S, Hasegawa T, Tominaga S, et al. Development of injury prediction models for advanced automatic collision notification based on Japanese accident data. Int J Crashworthiness, 2016, 21: 112–119

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