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Article

DETERMINANTS OF SEVERE INJURY AND FATAL TRAFFIC ACCIDENTS ON URBAN AND RURAL HIGHWAYS

DOI: 10.7708/ijtte.2018.8(3).04


8 / 3 / 294-308 Pages

Author(s)

Aschalew Kassu - Department of Mechanical, Civil Engineering and Construction Management, Alabama A&M University, Normal, AL 35762, USA -

Michael Anderson - Department of Civil & Environmental Engineering, University of Alabama in Huntsville, Huntsville, AL 35899, USA -


Abstract

Based on the recent Safety Fact Sheet, highway traffic accidents are becoming one of the leading causes of death. The main goal of this work is to study the correlation, impacts and the association of several highway pavements and geometric design elements, the prevailing traffic characteristics and environmental conditions on severe traffic crashes occurred over the five years period from 2010 to 2014 on selected two and four-lane rural and urban highways in the state of Alabama. Several state urban and rural highways with homogeneous variances, equal mean values and similar distributions of the crashes are identified and combined to form crash datasets. The significance of the initial categorical variables on the likelihood of generating severe crashes on dry and wet pavement surfaces are evaluated. The negative binomial regression model is used to estimate the observed crash data and identify the principal variables associated with the crashes.


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Acknowledgements:

The authors would like to thank the Center for Advanced Public Safety (CAPS) at the University of Alabama for providing access to the CARE data, and the Alabama Department of Transportation (ALDOT) for providing the data on traffic volume, geometric and pavement conditions of the highways.


References:

Abdel-Aty, M.; Radwan, A.E. 2000. Modeling traffic accident occurrence and involvement, Accident Analysis and Prevention 32(5): 633-642.

 

Abdel-Aty, M. 2003. Analysis of driver injury severity levels at multiple locations using ordered probit models, Journal of Safety Research 34(5): 597-603.

 

Caliendo, C.; Guida, M.; Parisi, A. 2007. A crash-prediction model for multilane roads, Accident Analysis and Prevention 39(4): 657-670.

 

Edwards, J.B. 1998. The relationship between road accident severity and recorded weather, Journal of Safety Research 29(4): 249-262.

 

Fridstrøm, L.; Ifver, J.; Ingebrigtsen, S.; Kulmala, R.; Thomsen, L. K. 1995. Measuring the contribution of randomness, exposure, weather, and daylight to the variation in road accident counts, Accident Analysis & Prevention 27(1): 1-20.

 

Gunaratne, M.; Lu, Q.; Yang, J.; Metz, J.; Jayasooriya, W.; Yassin, M.; Amarasiri, S. 2012. Hydroplaning on multi lane facilities. Final Report. Florida Department of Transportation. 130 p.

 

Hadi, M.A.; Aruldhas, J.; Chow, L.; Wattleworth, J.A. 1995. Estimating safety effects of cross-section design for various highway types using negative binomial regression, Transportation Research Record. Journal of the Transportation Research Board 1500: 169-177.

 

FHWA. 1990. Highway Performance Monitoring System, Field Manual. U.S. Department of Transportation, FHWA Publication 5600.1A, Washington, D.C.

 

Ihs, A.; Gustafsson, M.; Eriksson, O.; Wiklund, M.; Sjögren, L. 2011. Road user effect models-the influence of rut depth on traffic safety. The Finnish Transport Agency, VTI rapport 731A.

 

Jung, S.; Qin, X.; Noyce, A.D. 2011. Modeling highway safety and simulation in rainy weather, Transportation Research Record. Journal of the Transportation Research Board 2237: 134-143.

 

Keay, K.; Simmonds, I. 2005. The association of rainfall and other weather variables with road traffic volume in Melbourne, Australia, Accident Analysis and Prevention 37(1): 109-124.

 

Krull, K.; Khattak, A.; Council, F. 2000. Injury effects of rollovers and events sequence in single-vehicle crashes, Transportation Research Record. Journal of the Transportation Research Board 1717: 46-54.

 

Li, Y.; Liu, C.; Ding, L. 2013. Impact of pavement conditions on crash severity, Accident Analysis and Prevention 59: 399-406.

 

Lord, D.; Mannering, F. 2010. The Statistical Analysis of Crash Frequency Data: A Review and Assessment of Methodological Alternatives, Transportation Research Part A 44(5): 291-305.

 

Nassar, S.; Saccomanno, F.F.; Shortreed, J.H. 1994. Road accident severity analysis: A micro-level approach, Canadian Journal of Civil Engineering 21(5): 847-855.

 

NHTSA. 2016. National Center for Statistics and Analysis. Early estimate of motor vehicle traffic fatalities for 2015. (Brief Statistical Summary. Report No. DOT HS 812 269). Washington, DC: National Highway Traffic Safety Administration (NHTSA).

 

NHTSA. 2017. National Center for Statistics and Analysis. State Traffic Data: 2015 Data (Traffic Safety Facts. Report No. DOT HS 812 412). Washington, DC: National Highway Traffic Safety Administration (NHTSA).

 

NHTSA. 2014. National Center for Statistics and Analysis. A compilation of motor vehicle crash data from the fatality analysis reporting system and the general estimates system. (Traffic Safety Facts. Report No. DOT HS 812 261). Washington, DC: National Highway Traffic Safety Administration (NHTSA).

 

NSC. 2017. NSC Motor Vehicle Fatality Estimate. National Safety Council (NSC). Available from internet: http://www.nsc.org/NewsDocuments/2017/12-month-estimates.pdf.

 

Oh, J.; Washington, S.; Nam, D. 2006. Accident prediction model for railway-highway interfaces, Accident Analysis and Prevention 38(2): 346-356.

 

Oña, J.; Mujalli, R.O.; Calvo, F.J. 2011. Analysis of traffic accident injury severity on Spanish rural highways using Bayesian networks, Accident Analysis and Prevention 43(1): 402-411.

 

Renski, H.; Khattak, A. J.; Council, F.M. 1999. Effect of speed limit increases on crash injury severity: analysis of single-vehicle crashes on North Carolina interstate highways, Transportation Research Record. Journal of the Transportation Research Board 1665: 100-108.

 

Roh, C.G.; Park, B.J.; Kim, J. 2017. Impact of heavy vehicles on highway traffic flows: case study in the Seoul metropolitan area, Journal Transportation Engineering, Part A: Systems 143(9): 05017008.

 

Usman, T.; Fu, L.; Miranda-Moreno, L.F. 2016. Injury severity analysis: comparison of multilevel logistic regression models and effects of collision data aggregation, Journal of Modern Transportation 24(1): 73-87.

 

Wood, G.R. 2002. Generalized linear accident models and goodness of fit testing, Accident Analysis and Prevention 34(4): 417-427.

 

Wu, Q.; Chen, F.; Zhang, G.; Liu, X.C.; Wang, H.; Bogus, S.M. 2014. Mixed logit model-based driver injury severity investigations in single- and multi-vehicle crashes on rural two-lane highways, Accident Analysis and Prevention 72: 105-115.