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Title:

Analysis of Injury Severity in Heavy Vehicles Angle Crashes

Accession Number:

01623768

Record Type:

Component

Abstract:

Crashes involving heavy vehicles are a major road safety concern because of the higher likelihood of fatal and serious injury outcomes. The primary objective of this research is to identify the factors contributing to injury severity in angle crashes involving heavy vehicles. The skewed logistic (Scobit) model is applied to data on two-vehicle angle collisions in Victoria, Australia because of the imbalance or skewness in the injury outcomes. The authors find that the skewed logit model performs better than the standard binary logit model due to the violation of the symmetry assumption. The factors influencing injury severity in angle crashes involving heavy vehicles include occupants' gender, age and restraint use, vehicles' age, type, movement, fire status, point-of-impact and damage, time-of-day, road classification, posted speed limit, intersection type, and number of occupants involved.

Supplemental Notes:

This paper was sponsored by TRB committee ANB70 Standing Committee on Truck and Bus Safety.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-01243

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Balakrishnan, Sivanandan
Moridpour, Sara
Tay, Richard

Pagination:

15p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References (45) ; Tables

Geographic Terms:

Subject Areas:

Highways; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-01243

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:23AM