Title
Indexing Crash Worthiness And Crash Aggressivity By Vehicle Type
Keywords
Bayesian hierarchical model; Crash aggressivity; Crash compatibility; Crash worthiness; Ordered logistic model
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. © 2011 Elsevier Ltd.
Publication Date
7-1-2011
Publication Title
Accident Analysis and Prevention
Volume
43
Issue
4
Number of Pages
1364-1370
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.aap.2011.02.010
Copyright Status
Unknown
Socpus ID
79955574305 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79955574305
STARS Citation
Huang, Helai; Siddiqui, Chowdhury; and Abdel-Aty, Mohamed, "Indexing Crash Worthiness And Crash Aggressivity By Vehicle Type" (2011). Scopus Export 2010-2014. 2516.
https://stars.library.ucf.edu/scopus2010/2516