Modeling head-on crash severity on ncdot freeways: A mixed logit model approach

Canadian Journal of Civil Engineering

Volumn 46, Issue 6, 2019, Pages 322-328

  Liu, Pengfei ^a   David Fan, Wei ^a  

^a University of North Carolina at Charlotte   (United States)

Author keywords

Contributing factors; Head on crashes; Mixed logit model; Severity analysis

Indexed keywords

HIGHWAY ENGINEERING; PICKUPS; TRAFFIC CONTROL;

CONTRIBUTING FACTOR; DRIVING UNDER THE INFLUENCE; ENVIRONMENTAL CHARACTERISTIC; HEAD-ON CRASHES; MIXED LOGIT MODELS; RANDOM PARAMETERS; ROADWAY CONFIGURATION; SEVERITY ANALYSIS;

HIGHWAY ACCIDENTS;

CLIMATE CONDITIONS; DISEASE SEVERITY; INJURY; MODEL; MODELING; PARAMETER ESTIMATION; TRANSPORT VEHICLE; YOUNG POPULATION;

NORTH CAROLINA; UNITED STATES;

EID: 85064041152     PISSN: 03151468     EISSN: 12086029     Source Type: Journal    
DOI: 10.1139/cjce-2018-0262     Document Type: Article

References (50)

1. Abay, K.A., Paleti, R., and Bhat, C.R. 2013. The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity. Transportation Research Part B: Methodological, 50: 74–89. doi:10.1016/j.trb. 2013.01.007.
2. 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. doi:10.1016/j.jsr.2003.05.009. PMID:14733994.
3. Abdel-Aty, M.A., and Abdelwahab, H.T. 2004. Predicting injury severity levels in traffic crashes: a modeling comparison. Journal of Transportation Engineering, 130(2): 204–210. doi:10.1061/(ASCE)0733-947X(2004)130:2(204).
4. Anastasopoulos, P.C., and Mannering, F.L. 2011. An empirical assessment of fixed and random parameter logit models using crash-and non-crash-specific injury data. Accident Analysis & Prevention, 43(3): 1140–1147. doi:10.1016/j.aap. 2010.12.024. PMID:21376912.
5. Behnood, A., and Mannering, F.L. 2015. The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: some empirical evidence. Analytic Methods in Accident Research, 8: 7–32. doi:10.1016/j.amar. 2015.08.001.
6. Behnood, A., and Mannering, F.L. 2016. An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models. Analytic Methods in Accident Research, 12: 1–17. doi:10.1016/j. amar.2016.07.002.
7. Behnood, A., and Mannering, F. 2017a. The effect of passengers on driver-injury severities in single-vehicle crashes: a random parameters heterogeneity-in-means approach. Analytic Methods in Accident Research, 14: 41–53. doi:10. 1016/j.amar.2017.04.001.
8. Behnood, A., and Mannering, F. 2017b. Determinants of bicyclist injury severities in bicycle-vehicle crashes: a random parameters approach with heterogeneity in means and variances. Analytic Methods in Accident Research, 16: 35–47. doi:10.1016/j.amar.2017.08.001.
9. Behnood, A., Roshandeh, A.M., and Mannering, F.L. 2014. Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities. Analytic Methods in Accident Research, 3: 56–91. doi:10.1016/j.amar.2014. 10.001.
10. Bham, G.H., Javvadi, B.S., and Manepalli, U.R. 2011. Multinomial logistic regression model for single-vehicle and multivehicle collisions on urban US highways in Arkansas. Journal of Transportation Engineering, 138(6): 786–797. doi:10.1061/(ASCE)TE.1943-5436.0000370.
11. Cerwick, D.M., Gkritza, K., Shaheed, M.S., and Hans, Z. 2014. A comparison of the mixed logit and latent class methods for crash severity analysis. Analytic Methods in Accident Research, 3: 11–27. doi:10.1016/j.amar.2014.09.002.
12. Chen, F., and Chen, S. 2011. Injury severities of truck drivers in single-and multi-vehicle accidents on rural highways. Accident Analysis & Prevention, 43(5): 1677–1688. doi:10.1016/j.aap.2011.03.026. PMID:21658494.
13. Chen, H., Cao, L., and Logan, D. 2012. Analysis of risk factors affecting the severity of intersection crashes by logistic regression. Traffic Injury Prevention, 13(3): 300–307. doi:10.1080/15389588.2011.653841. PMID:22607253.
14. Conroy, C., Tominaga, G.T., Erwin, S., Pacyna, S., Velky, T., Kennedy, F., Sise, M., and Coimbra, R. 2008. The influence of vehicle damage on injury severity of drivers in head-on motor vehicle crashes. Accident Analysis & Prevention, 40(4): 1589–1594. doi:10.1016/j.aap.2008.04.006. PMID:18606294.
15. Deng, Z., Ivan, J., and Gårder, P. 2006. Analysis of factors affecting the severity of head-on crashes: two-lane rural highways in Connecticut. Transportation Research Record: Journal of the Transportation Research Board, 1953: 137– 146.
16. Desapriya, E., Pike, I., and Kinney, J. 2005. The risk of injury and vehicle damage severity in vehicle mismatched side impact crashes in British Columbia. IATSS Research, 29(2): 60–66. doi:10.1016/S0386-1112(14)60134-5.
17. Dissanayake, S., and Roy, U. 2014. Crash severity analysis of single vehicle run-off-road crashes. Journal of Transportation Technologies, 4(01): 1. doi:10.4236/jtts.2014.41001.
18. Duncan, C.S., Khattak, A.J., and Council, F.M. 1998. Applying the ordered probit model to injury severity in truck-passenger car rear-end collisions. Transportation Research Record: Journal of the Transportation Research Board, 1635: 63–71. doi:10.3141/1635-09.
19. Edwards, J.B. 1998. The relationship between road accident severity and recorded weather. Journal of Safety Research, 29(4): 249–262. doi:10.1016/S0022-4375(98)00051-6.
20. Gårder, P. 2006. Segment characteristics and severity of head-on crashes on two-lane rural highways in Maine. Accident Analysis & Prevention, 38(4): 652–661. doi:10.1016/j.aap.2005.12.009.
21. Garrido, R., Bastos, A., de Almeida, A., and Elvas, J.P. 2014. Prediction of road accident severity using the ordered probit model. Transportation Research Procedia, 3: 214–223. doi:10.1016/j.trpro.2014.10.107.
22. Geedipally, S.R., Patil, S., and Lord, D. 2010. Examination of methods to estimate crash counts by collision type. Transportation Research Record: Journal of the Transportation Research Board, 2165(1): 12–20. doi:10.3141/2165-02.
23. Haleem, K., and Gan, A. 2013. Effect of driver’s age and side of impact on crash severity along urban freeways: a mixed logit approach. Journal of safety research, 46: 67–76. doi:10.1016/j.jsr.2013.04.002. PMID:23932687.
24. Hosseinpour, M., Yahaya, A.S., and Sadullah, A.F. 2014. Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: case studies from Malaysian federal roads. Accident Analysis & Prevention, 62: 209–222. doi:10.1016/j.aap.2013.10.001. PMID:24172088.
25. Huang, H.F., Stewart, J.R., and Zegeer, C.V. 2002. Evaluation of lane reduction “road diet” measures on crashes and injuries. Transportation Research Record: Journal of the Transportation Research Board, 1784: 80–90. doi:10.3141/1784-11.
26. Hummer, J.E., Rasdorf, W., Findley, D.J., Zegeer, C.V., and Sundstrom, C.A. 2010. Curve collisions: road and collision characteristics and countermeasures. Journal of Transportation Safety & Security, 2(3): 203–220. doi:10.1080/19439961003734880.
27. Khattak, A. 2001. Injury severity in multivehicle rear-end crashes. Transportation Research Record: Journal of the Transportation Research Board, 1746: 59–68. doi:10.3141/1746-08.
28. 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. Accident Analysis & Prevention, 50: 1073–1081. doi: 10.1016/j.aap.2012.08.011. PMID:22939394.
29. Kim, T., and Jeong, H.Y. 2010. Crash probability and error rates for head-on collisions based on stochastic analyses. IEEE Transactions on Intelligent Transportation Systems, 11(4): 896–904. doi:10.1109/TITS.2010.2053536.
30. Kweon, Y.J., and Kockelman, K.M. 2003. Overall injury risk to different drivers: combining exposure, frequency, and severity models. Accident Analysis & Prevention, 35(4): 441–450. doi:10.1016/S0001-4575(02)00021-0. PMID:12729808.
31. Lee, J., and Mannering, F. 1999. Analysis of roadside accident frequency and severity and roadside safety management. Final Research Report. Research Project T9903, Task 97. Report Number WA-RD 475.1.
32. Ma, J., and Kockelman, K. 2006. Crash frequency and severity modeling using clustered data from Washington State. IEEE Intelligent Transportation Systems Conference, Toronto, Ont., Canada.
33. Malyshkina, N., and Mannering, F. 2008. Effect of increases in speed limits on severities of injuries in accidents. Transportation Research Record: Journal of the Transportation Research Board, 2083: 122–127. doi:10.3141/2083-14.
34. Malyshkina, N.V., Mannering, F.L., and Tarko, A.P. 2009. Markov switching negative binomial models: an application to vehicle accident frequencies. Accident Analysis & Prevention, 41(2): 217–226. doi:10.1016/j.aap.2008.11.001. PMID: 19245878.
35. Mannering, F. 2018. Temporal instability and the analysis of highway accident data. Analytic Methods in Accident Research, 17: 1–13. doi:10.1016/j.amar.2017. 10.002.
36. Milton, J.C., Shankar, V.N., and Mannering, F.L. 2008. Highway accident severities and the mixed logit model: an exploratory empirical analysis. Accident Analysis & Prevention, 40(1): 260–266. doi:10.1016/j.aap.2007.06.006. PMID: 18215557.
37. Moore, D.N., Schneider, W.H., IV, Savolainen, P.T., and Farzaneh, M. 2011. Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations. Accident Analysis & Prevention, 43(3): 621–630. doi:10.1016/j.aap.2010.09.015. PMID:21376847.
38. NCDOT. 2018. North Carolina Crash Data Query Web Site. Available from http://nccrashdata.hsrc.unc.edu/index.cfm [accessed 20 August 2018].
39. NHTSA. 2017. Traffic Safety Facts 2015: A compilation of motor vehicle crash data from the fatality analysis reporting system and the general estimates system. U.S. Department of Transportation, Washington, D.C.
40. Renski, H., Khattak, A.J., and 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. doi:10.3141/1665-14.
41. 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. Accident Analysis & Prevention, 43(5): 1666–1676. doi:10.1016/j.aap.2011.03.025. PMID:21658493.
42. Shaheed, M.S.B., Gkritza, K., Zhang, W., and Hans, Z. 2013. A mixed logit analysis of two-vehicle crash severities involving a motorcycle. Accident Analysis & Prevention, 61: 119–128. doi:10.1016/j.aap.2013.05.028. PMID:23830505.
43. Train, K.E. 2009. Discrete choice methods with simulation. Cambridge University Press.
44. Weiss, H.B., Kaplan, S., and Prato, C.G. 2014. Analysis of Factors Associated with Injury Severity in Crashes Involving Young New Zealand Drivers. Accident Analysis & Prevention, 65: 142–155. doi:10.1016/j.aap.2013.12.020. PMID: 24456849.
45. 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. Accident Analysis & Prevention, 72: 105–115. doi:10.1016/j.aap.2014.06.014. PMID:25016459.
46. Xie, Y., Zhang, Y., and Liang, F. 2009. Crash injury severity analysis using Bayesian ordered probit models. Journal of Transportation Engineering, ASCE, 135(1): 18–25. doi:10.1061/(ASCE)0733-947X(2009)135:1(18).
47. Xiong, Y., Tobias, J.L., and Mannering, F.L. 2014. The analysis of vehicle crash injury-severity data: a Markov switching approach with road-segment heterogeneity. Transportation Research Part B: Methodological, 67: 109–128. doi: 10.1016/j.trb.2014.04.007.
48. Ye, F., and Lord, D. 2014. Comparing three commonly used crash severity models on sample size requirements: multinomial logit, ordered probit and mixed logit models. Analytic Methods in Accident Research, 1: 72–85. doi:10.1016/j. amar.2013.03.001.
49. Ye, X., Pendyala, R.M., Washington, S.P., Konduri, K., and Oh, J. 2009. A simultaneous equations model of crash frequency by collision type for rural intersections. Safety Science, 47(3): 443–452. doi:10.1016/j.ssci.2008.06.007.
50. Zhang, C., and Ivan, J.N. 2005. Effects of geometric characteristics on head-on crash incidence on two-lane roads in Connecticut. Transportation Research Record: Journal of the Transportation Research Board, 1908(1): 159–164. doi: 10.1177/0361198105190800119.