Literature DB >> 21545867

Indexing crash worthiness and crash aggressivity by vehicle type.

Helai Huang1, Chowdhury Siddiqui, Mohamed Abdel-Aty.   

Abstract

Crash aggressivity (CA), along with conventional crash worthiness (CW), has been recently studied to deal with the crash incompatibility between vehicles on roads. Clearly, injury severity depends on the attacking ability of striking vehicle as well as the protective ability of struck vehicle. This study proposes a systematic crash-based approach to index CA and CW of various vehicles. The approach deviates from existing methods in three aspects: (a) an explicit definition and specification in the model for CW and CA; (b) Bayesian hierarchical analysis to account for the crash-vehicle two-level data structure; (c) a five-level ordinal model to explicitly consider all levels of crash severity. The case study on major vehicle types illustrated the method and confirmed the consistency of results with previous studies. Both crash worthiness and crash aggressivity significantly vary by vehicle types, in which we identified the dominating effect of vehicle mass, and also highlighted the extraordinary aggressivity of Light Trucks and Vans (LTVs). While it was not surprising to identify least CA and CW of motorcycles, buses were unconventionally found to be less aggressive than other motor vehicles. The method proposed in this research is applicable to detailed crash-based vehicle inspection and evaluation.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21545867     DOI: 10.1016/j.aap.2011.02.010

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  4 in total

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Authors:  Qiang Zeng; Wei Hao; Jaeyoung Lee; Feng Chen
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2.  Assessment of Two-Vehicle and Multi-Vehicle Freeway Rear-End Crashes in China: Accommodating Spatiotemporal Shifts.

Authors:  Chenzhu Wang; Yangyang Xia; Fei Chen; Jianchuan Cheng; Zeng'an Wang
Journal:  Int J Environ Res Public Health       Date:  2022-08-18       Impact factor: 4.614

3.  Associations between damage location and five main body region injuries of MAIS 3-6 injured occupants.

Authors:  Youming Tang; Libo Cao; Steven Kan
Journal:  BMJ Open       Date:  2014-05-08       Impact factor: 2.692

4.  Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach.

Authors:  Fangrong Chang; Maosheng Li; Pengpeng Xu; Hanchu Zhou; Md Mazharul Haque; Helai Huang
Journal:  Int J Environ Res Public Health       Date:  2016-07-14       Impact factor: 3.390

  4 in total

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