Injury severity analysis of truck-involved crashes under different weather conditions

Uddin, Majbah; Huynh, Nathan

doi:10.1016/j.aap.2020.105529

Injury severity analysis of truck-involved crashes under different weather conditions

Journal Article · Thu Apr 16 00:00:00 EDT 2020 · Accident Analysis and Prevention

DOI:https://doi.org/10.1016/j.aap.2020.105529· OSTI ID:1615779

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Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. of South Carolina, Columbia, SC (United States)

This paper investigates truck-involved crashes to determine the statistically significant factors that contribute to injury severity under different weather conditions. The analysis uses crash data from the state of Ohio between 2011 and 2015 available from the Highway Safety Information System. To determine if weather conditions should be considered separately for truck safety analyses, parameter transferability tests are conducted; the results suggest that weather conditions should be modeled separately with a high level of statistical confidence. To this end, three separate mixed logit models are estimated for three different weather conditions: normal, rain and snow. The estimated models identify a variety of statistically significant factors influencing the injury severity. Different weather conditions are found to have different contributing effects on injury severity in truck-involved crashes. Rural, rear-end and sideswipe crash parameters were found to have significantly different levels of impact on injury severity. Based on the findings of this study, several countermeasures are suggested: 1) safety and enforcement programs should focus on female truck drivers, 2) a variable speed limit sign should be used to lower speeds of trucks during rainy condition, and 3) trucks should be restricted or prohibited on non-interstates during rainy and snowy conditions. These countermeasures could reduce the number and severity of truck-involved crashes under different weather conditions.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1615779

Journal Information:: Accident Analysis and Prevention, Journal Name: Accident Analysis and Prevention Journal Issue: C Vol. 141; ISSN 0001-4575

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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60 APPLIED LIFE SCIENCES
Freight
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Random parameter logit
Truck-involved crash
Weather condition

Injury severity analysis of truck-involved crashes under different weather conditions

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