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Understanding the Contributing Factors to Nighttime Crashes at Freeway Mainline Segments

DOI: 10.4236/jtts.2019.94028, PP. 450-461

Keywords: Contributing Factors, Nighttime Crash, Injury Severity, Freeway Mainline

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Abstract:

This study investigated the crash contributing factors to the injury outcomes and the characteristics of the night time crashes at freeway mainline segments. Multinomial logit model (MNL) was selected to estimate the explanatory variables at a 95% confidence level. The six-year crash data (2005-2010) were obtained in the State of Florida, USA and five injury level outcomes, no injury, possible injury, non-incapacitating injury, capacitating injury, and fatal injury, were considered. The no injury level was selected as the baseline category.

References

[1]  National Highway Traffic Safety Association (NHTSA) (2007) Passenger Vehicle Occupant Fatalities by Day and Night—A Contrast. Washington DC.
[2]  Hawkins, N., Hallmark, S., Smadi, O., Kinsenbaw, C., Orellana, M., Hans, Z. and Isebrands, H. (2008) Strategies to Address Nighttime Crashes at Rural, Unsignalized Intersections. Final Report, Center for Transportation Research and Education, Iowa State University, Ames.
[3]  Elvik, R. (1997) Meta-Analysis of Evaluations of Public Lighting as Accident Countermeasure. Transportation Research Record, 1485, 112-123.
[4]  Griffith, S.M. (1994) Comparison of the Safety of Lighting Options on Urban Freeways. Public Roads, 58, 8-15.
[5]  Ye, F. and Lord, D. (2014) Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordred Probit and Mixed Logit Models. Analytic Methods in Accident Research, 1, 72-85.
[6]  Xie, Y., Zhao, K. and Huynh, N. (2012) Analysis of Driver Injury Severity in Rural Single-Vehicle Crashes. Accident Analysis and Prevention, 47, 36-44.
https://doi.org/10.1016/j.aap.2011.12.012
[7]  Geedipally, S.R., Turner, P.A. and Sunil, P. (2011) Analysis of Motorcycle Crashes in Texas with Multinomial Logit Model. Transportation Research Record, 2265, 62-69.
https://doi.org/10.3141/2265-07
[8]  Bham, H.G., Javvadi, S.B. and Manepalli, R.R.U. (2012) Multinomial Logistic Regression Model for Single-Vehicle and Multivehicle Collisions on Urban U.S. Highways in Arkansas. Journal of Transportation Engineering, American Society of Civil Engineers, 138, 786-797.
https://doi.org/10.1061/(ASCE)TE.1943-5436.0000370
[9]  Kim, J.-K., Ulfarsson, G.V. and Kim, S. (2008) Age and Pedestrian Injury Severity in Motor-Vehicle Crashes: A Heteroskedastic Logit Analysis. Accident Analysis and Prevention, 40, 1695-1702.
https://doi.org/10.1016/j.aap.2008.06.005
[10]  Gumbel, E. (1958) Statistics of Extremes. Columbia University Press, New York.
https://doi.org/10.7312/gumb92958

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