Title

Indexing crash worthiness and crash aggressivity by vehicle type

Authors

Authors

H. L. Huang; C. Siddiqui;M. Abdel-Aty

Comments

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Abbreviated Journal Title

Accid. Anal. Prev.

Keywords

Crash compatibility; Crash worthiness; Crash aggressivity; Bayesian; hierarchical model; Ordered logistic model; 4-WHEEL DRIVE VEHICLES; 2-VEHICLE CRASHES; INJURY SEVERITY; PASSENGER; CARS; SAFETY IMPACTS; PICKUP TRUCKS; FATALITY RISK; COLLISIONS; SUVS; MASS; Ergonomics; Public, Environmental & Occupational Health; Social; Sciences, Interdisciplinary; Transportation

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. (C) 2011 Elsevier Ltd. All rights reserved.

Journal Title

Accident Analysis and Prevention

Volume

43

Issue/Number

4

Publication Date

1-1-2011

Document Type

Article

Language

English

First Page

1364

Last Page

1370

WOS Identifier

WOS:000291296200012

ISSN

0001-4575

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