A Random Parameters Multinomial Logit Model Analysis of Median Barrier Crash Injury Severity on Wyoming Interstates

Author:

Moomen Milhan1,Molan Amirarsalan Mehrara2,Ksaibati Khaled23

Affiliation:

1. Louisiana Transportation Research Center, 4101 Gourrier Avenue, Baton Rouge, LA 70808, USA

2. Department of Civil Engineering, University of Mississippi, 206 Carrier Hall, University, MS 38677, USA

3. Department of Civil & Architectural Engineering, 1000 E. University Avenue, Laramie, WY 82071, USA

Abstract

This paper investigated factors influencing injury severity of crashes involving median traffic barriers, including the impact of barrier characteristics and their geometric features in Wyoming. Combining field data of inventoried median barriers with crash data on Wyoming interstates highways, a random parameters multinomial logit (mixed logit) model of injury severity was estimated. This methodological approach allowed for the possibility of estimated model parameters to vary randomly across crash observations to account for heterogeneity with respect to driver characteristics, roadway attributes, and vehicle characteristics. The estimation results indicated concrete barriers installed on front side-slopes and box beam barriers were associated with severe injury crashes. It was also found that median barrier crashes involving sports utility vehicles, pickups, and improperly restraint vehicle occupants are complex and vary significantly across observations. Other statistically significant variables found to increase the likelihood of severe injury crashes were rural interstate roads, concrete barriers installed on a front side-slope, box beam barriers with lateral offset less than 2 feet, and rollover crashes. These parameters were fixed across observations. The findings of this research point to the need to further investigate the impacts of sport utility vehicles, pickups, and rollover crashes on median barrier crash injury severity.

Funder

Wyoming Department of Transportation

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference79 articles.

1. NHTSA (2018, May 10). Fatal Motor Vehicle Crashes 2017: Overview, Available online: https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812603.

2. Insurance Institute for Highway Safety (2018, May 10). Fatality Facts 2017: Collisions with Fixed Objects and Animals. Available online: https://www.iihs.org/topics/fatality-statistics/detail/collisions-with-fixed-objects-and-animals#crash-types.

3. Brock, J., Robinson, A., Robinson, B., and Percer, J. (2018, May 10). Traffic Safety Facts—2016 Data—A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System, Available online: http://www-nrd.nhtsa.dot.gov/Pubs/811433.pdf.

4. Neuman, T.R., Nitzel, J.J., Antonucci, N., Nevill, S., and Stein, W. (2016). A Guide for Reducing Head-On Crashes on Freeways, The National Academies of Sciences, Engineering and Medicine.

5. Predicting the Severity of Median-Related Crashes in Pennsylvania by Using Logistic Regression;Donnell;Transp. Res. Rec.,2004

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