Technical Papers
Oct 28, 2017

Contributing Factors to Run-Off-Road Crashes Involving Large Trucks under Lighted and Dark Conditions

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 1

Abstract

Previous studies have examined the relationships between run-off-road (ROR) crashes and the contributing factors; however, the impact of lighting conditions has been insufficiently addressed. As a result, the objective of this study was to research the effect of lighting conditions on the injury severity of ROR crashes that involve large trucks. Based on the crash data pertaining to large trucks in the state of Oregon from 2007 to 2013, two separate mixed logit models were developed to capture the contributing factors that affect injury severity in each lighting condition. The levels of injury severity sustained by truck drivers were categorized into three main categories: severe injury (fatal and incapacitating), minor injury (nonincapacitating and possible injury), and no injury. The mixed logit model was used to account for unobserved factors (i.e., unobserved heterogeneity). Estimation results indicated that there are significant differences between dark and lighted conditions, that the level of injury severity outcomes was highly influenced by several complex interactions between factors, and that the effects of some factors could vary across observations. The contributing factors include driver, traffic flow, roadway geometric features, land use, and time characteristics.

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Acknowledgments

We would like to acknowledge the Oregon Department of Transportation, specifically the Transportation Data Department, for providing the crash dataset and for helping in our understanding of the data. Findings of this study do not necessarily reflect the views of the Oregon Department of Transportation.

References

Al-Bdairi, N. S. S., and Hernandez, S. (2017). “An empirical analysis of run-off-road injury severity crashes involving large trucks.” Accid. Anal. Prev., 102, 93–100.
Anarkooli, A. J., and Hosseinlou, M. H. (2016). “Analysis of the injury severity of crashes by considering different lighting conditions on two-lane rural roads.” J. Saf. Res., 56, 57–65.
Anastasopoulos, P. C., and Mannering, F. L. (2009). “A note on modeling vehicle accident frequencies with random-parameters count models.” Accid. Anal. Prev., 41(1), 153–159.
Anselin, L. (1988). Spatial econometrics: Methods and models, Kluwer Academic Publishers, Boston.
Behnood, A., and Mannering, F. L. (2015). “The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence.” Anal. Methods Accid. Res., 8, 7–32.
Behnood, A., Roshandeh, A. M., and Modiri Gharehveran, M. (2016). “The effects of drivers’ behavior on driver-injury severities in Iran: An application of the mixed-logit model.” Sci. Iranica, 23(6), 2429–2440.
Bhat, C. R. (2003). “Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences.” Transp. Res. Part B: Methodol., 37(9), 837–855.
Chang, L.-Y., and Chien, J.-T. (2013). “Analysis of driver injury severity in truck-involved accidents using a non-parametric classification tree model.” Saf. Sci., 51(1), 17–22.
Dissanayake, S., and Kotikalapudi, S. (2012). “Characteristics and contributory causes related to large-truck crashes (phase II)—All crashes.” Research and Innovative Technology Administration, Washington, DC.
Eluru, N., Bagheri, M., Miranda-Moreno, L. F., and Fu, L. (2012). “A latent class modeling approach for identifying vehicle driver injury severity factors at highway-railway crossings.” Accid. Anal. Prev., 47, 119–127.
Elvik, R. (1995). “Meta-analysis of evaluations of public lighting as accident countermeasure.” Transp. Res. Rec., 1485, 112–123.
Elvik, R., Høye, A., Vaa, T., and Sørensen, M. (2009). The handbook of road safety measures, 2nd Ed., Emerald Group Publishing, Bingley, U.K.
Federal Motor Carrier Safety Administration. (2016). Large truck and bus crash facts 2014, Washington, DC.
Greene, W. H. (2012). Econometric analysis, Pearson Education, New York.
Greene, W. H. (2016). NLOGIT version 6 reference guide, Econometric Software, Plainview, NY.
Hasson, P., and Lutkevich, P. (2002). Roadway lighting revisited, Federal Highway Administration/Public Roads, Washington, DC.
Islam, M. (2015). “Multi-vehicle crashes involving large trucks: A random parameter discrete outcome modeling approach.” J. Transp. Res. Forum, 54(1), 77–104.
Islam, M. B., and Hernandez, S. (2013a). “Large truck-involved crashes: Exploratory injury severity analysis.” J. Transp. Eng., 139(6), 596–604.
Islam, M. B., and Hernandez, S. (2013b). “Modeling injury outcomes of crashes involving heavy vehicles on Texas highways.” Transp. Res. Rec., 2388, 28–36.
Islam, S., Jones, S. L., and Dye, D. (2014). “Comprehensive analysis of single and multi-vehicle large truck at-fault crashes on rural and urban roadways in Alabama.” Accid. Anal. Prev., 67, 148–158.
Khattak, A., Luo, Z., and Gao, M. (2012). “Investigation of factors associated with truck crash severity in Nebraska.” Mid-America Transportation Center, Lincoln, NE.
Khorashadi, A., Niemeier, D., Shankar, V., and Mannering, F. (2005). “Differences in rural and urban driver-injury severities in accidents involving large-trucks: An exploratory analysis.” Accid. Anal. Prev., 37(5), 910–921.
Kim, J.-K., Ulfarsson, G. F., Kim, S., and Shankar, V. N. (2013). “Driver-injury severity in single-vehicle crashes in California: A mixed logit analysis of heterogeneity due to age and gender.” Accid. Anal. Prev., 50, 1073–1081.
Koupaenejad, A. (2010). “Statistical modeling and analysis of injury severity sustained by occupants of passenger vehicles involved in crashes with large trucks.” Ph.D. dissertation, Univ. of Nevada, Las Vegas.
Lutkevich, P., Mclean, D., and Cheung, J. (2012). FHWA lighting handbook, Federal Highway Administration, Washington, DC.
Mannering, F. L., and Bhat, C. R. (2014). “Analytic methods in accident research: Methodological frontier and future directions.” Anal. Methods Accid. Res., 1, 1–22.
Mannering, F. L., Shankar, V., and Bhat, C. R. (2016). “Unobserved heterogeneity and the statistical analysis of highway accident data.” Anal. Methods Accid. Res., 11, 1–16.
Milton, J. C., Shankar, V. N., and Mannering, F. L. (2008). “Highway accident severities and the mixed logit model: An exploratory empirical analysis.” Accid. Anal. Prev., 40(1), 260–266.
Ott, R. L., and Longnecker, M. (2010). An introduction to statistical methods and data analysis, Brooks/Cole, Belmont, CA.
Pahukula, J., Hernandez, S., and Unnikrishnan, A. (2015). “A time of day analysis of crashes involving large trucks in urban areas.” Accid. Anal. Prev., 75, 155–163.
Rodegerdts, L. A., et al. (2004). “Signalized intersections: Informational guide.”, Federal Highway Administration, McLean, VA.
Savolainen, P. T., Mannering, F. L., Lord, D., and Quddus, M. A. (2011). “The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives.” Accid. Anal. Prev., 43(5), 1666–1676.
Washington, S. P., Karlaftis, M. G., and Mannering, F. L. (2011). Statistical and econometric methods for transportation data analysis, Chapman and Hall/CRC, Boca Raton, FL.
Wu, Q., Chen, F., Zhang, G., Liu, X. C., Wang, H., and Bogus, S. M. (2014). “Mixed logit model-based driver injury severity investigations in single- and multi-vehicle crashes on rural two-lane highways.” Accid. Anal. Prev., 72, 105–115.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 144Issue 1January 2018

History

Received: Mar 2, 2017
Accepted: Jul 6, 2017
Published online: Oct 28, 2017
Published in print: Jan 1, 2018
Discussion open until: Mar 28, 2018

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Authors

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Nabeel Saleem Saad Al-Bdairi
Ph.D. Student, School of Civil and Construction Engineering, Oregon State Univ., 211 Kearney Hall, Corvallis, OR 97331-3212.
Salvador Hernandez [email protected]
Assistant Professor, School of Civil and Construction Engineering, Oregon State Univ., 309 Owen Hall, Corvallis, OR 97331-3212 (corresponding author). E-mail: [email protected]
Jason Anderson
Ph.D. Student, School of Civil and Construction Engineering, Oregon State Univ., 211 Kearney Hall, Corvallis, OR 97331-3212.

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