Assessment of Large Trucks Crash Severity on a Rural Interstate Road in Wyoming Using Decision Trees and Structural Equation Model
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 150, Issue 1
Abstract
Promoting the safety of commercial trucks by identifying countermeasures that eliminate/reduce the effect of factors that increase the severity of truck-related crashes is crucial. Crash causal factors for rural interstate roads, located within the mountain plains, are inherently unique compared to urban interstate roads. This is due to the presence of challenging road geometry coupled with severe weather conditions and high truck traffic volumes. This study investigated Interstate 80 in Wyoming using decision trees, as a data mining approach, and structural equation model (SEM) as a latent factor modeling approach. SEM was employed to clarify the direct and indirect relationships between endogenous and exogenous variables while accounting for the variation and covariation within and between the constructed measurement models. Crash severity data were processed to account for factors affecting single vehicles and multivehicle trucks. The results showed that the interaction with surrounding traffic was the most significant latent variable affecting the crash severity of multivehicle truck crashes, while adverse weather conditions were the most significant latent variable affecting the crash severity of single-truck crashes. The results of this study highlighted the importance of increasing the situational awareness of commercial truck drivers with upcoming hazardous events. This could be performed by communicating information using variable message signs, the 511 application, the commercial vehicle operator portal (CVOP), or the connected vehicle (CV) technologies.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to thank the WYDOT for providing the data that were used in this study, and for funding this research—Award No. RS04220. All opinions and results are solely those of the authors.
References
Abellán, J., G. López, and J. de Oña. 2013. “Analysis of traffic accident severity using decision rules via decision trees.” Expert Syst. Appl. 40 (15): 6047–6054. https://doi.org/10.1016/j.eswa.2013.05.027.
Ahmed, M., H. Huang, M. Abdel-Aty, and B. Guevara. 2011. “Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway.” Accid. Anal. Prev. 43 (4): 1581–1589. https://doi.org/10.1016/j.aap.2011.03.021.
Ahmed, M. M., and M. A. Abdel-aty. 2012. “The viability of using automatic vehicle identification data for real-time crash prediction.” IEEE Trans. Intell. Transp. Syst. 13 (2): 459–468. https://doi.org/10.1109/TITS.2011.2171052.
Ahmed, M. M., R. Franke, K. Ksaibati, and D. S. Shinstine. 2018. “Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models.” Accid. Anal. Prev. 117 (Apr): 106–113. https://doi.org/10.1016/j.aap.2018.04.011.
Ahmed, M. M., S. Gaweesh, and G. Yang. 2019. “A preliminary investigation into the impact of connected vehicle human-machine interface on driving behavior.” IFAC-PapersOnLine 51 (34): 227–229. https://doi.org/10.1016/j.ifacol.2019.01.051.
Ahmed, M. M., G. Yang, and S. Gaweesh. 2020. “Assessment of drivers’ perceptions of connected vehicle—Human machine interface for driving under adverse weather conditions: Preliminary findings from Wyoming.” Front. psychol. 11 (Aug): 1889. https://doi.org/10.3389/fpsyg.2020.01889.
Ambak, K., R. Ismail, R. A. Abdullah, and M. N. Borhan. 2010. “Prediction of helmet use among Malaysian motorcyclist using structural equation modeling.” Aust. J. Basic Appl. Sci. 4 (10): 5263–5270.
Badea-Romero, A., and J. Lenard. 2013. “Source of head injury for pedestrians and pedal cyclists: Striking vehicle or road?” Accid. Anal. Prev. 50 (Jun): 1140–1150. https://doi.org/10.1016/j.aap.2012.09.024.
Barman, S., and R. Bandyopadhyaya. 2020. “Crash severity analysis for low-speed roads using structural equation modeling considering shoulder-and pavement-distress conditions.” J. Transp. Eng. A Syst. 146 (7): 1–10. https://doi.org/10.1061/jtepbs.0000373.
Beauducel, A., and P. Y. Herzberg. 2006. “On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA.” Struct. Equation Model. 13 (2): 186–203. https://doi.org/10.1207/s15328007sem1302_2.
Brown, T. A. 2015. Confirmatory factor analysis for applied research. New York: Guilford Publications.
Byrne, B. M. 1998. Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum Associates.
Cafiso, S., A. di Graziano, G. di Silvestro, G. la Cava, and B. Persaud. 2010. “Development of comprehensive accident models for two-lane rural highways using exposure, geometry, consistency and context variables.” Accid. Anal. Prev. 42 (4): 1072–1079. https://doi.org/10.1016/j.aap.2009.12.015.
Chang, L.-Y., and J.-T. Chien. 2013. “Analysis of driver injury severity in truck-involved accidents using a non-parametric classification tree model.” Saf. Sci. 51 (1): 17–22. https://doi.org/10.1016/j.ssci.2012.06.017.
Chen, C., G. Zhang, X. C. Liu, Y. Ci, H. Huang, J. Ma, Y. Chen, and H. Guan. 2016. “Driver injury severity outcome analysis in rural interstate highway crashes: A two-level Bayesian logistic regression interpretation.” Accid. Anal. Prev. 97 (Jul): 69–78. https://doi.org/10.1016/j.aap.2016.07.031.
Chen, F., and S. Chen. 2011. “Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways.” Accid. Anal. Prev. 43 (5): 1677–1688. https://doi.org/10.1016/j.aap.2011.03.026.
Chen, F., and S. Chen. 2013. “Differences in injury severity of accidents on mountainous highways and non-mountainous highways.” Procedia Soc. Behav. Sci. 96 (Oct): 1868–1879. https://doi.org/10.1016/j.sbspro.2013.08.212.
Cho, S.-H., D.-K. Kim, and S.-Y. Kho. 2017. “Latent factors of severity in truck-involved and non-truck-involved crashes on freeways.” Int. J. Transp. Veh. Eng. 11 (7): 920–927. https://doi.org/10.5281/zenodo.1131423.
de Oña, J., G. López, R. Mujalli, and F. J. Calvo. 2013. “Analysis of traffic accidents on rural highways using latent class clustering and Bayesian networks.” Accid. Anal. Prev. 51 (Aug): 1–10. https://doi.org/10.1016/j.aap.2012.10.016.
Dong, X., K. Xie, and H. Yang. 2022. “How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling.” Accid. Anal. Prev. 172 (Dec): 106687. https://doi.org/10.1016/j.aap.2022.106687.
DOT. 2020. “National freight strategic plan.” Accessed September 4, 2020. https://www.transportation.gov/sites/dot.gov/files/2020-09/NFSP_fullplan_508_0.pdf.
Farag, S., T. Schwanen, M. Dijst, and J. Faber. 2007. “Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping.” Transp. Res. Part A Policy Pract. 41 (2): 125–141. https://doi.org/10.1016/j.tra.2006.02.003.
Federal Motor Carrier Safety Administration. 2019. Large truck and bus crash facts 2017. Washington, DC: Federal Motor Carrier Safety Administration.
Forero, C. G., A. Maydeu-Olivares, and D. Gallardo-Pujol. 2009. “Factor analysis with ordinal indicators: A Monte Carlo study comparing DWLS and ULS estimation.” Struct. Equation Model. 16 (4): 625–641. https://doi.org/10.1080/10705510903203573.
Gaweesh, S., M. N. Khan, and M. M. Ahmed. 2021a. “Development of a novel framework for hazardous materials placard recognition system to conduct commodity flow studies using artificial intelligence Alexnet convolutional neural network.” Transp. Res. Rec. 2675 (11): 1357–1371. https://doi.org/10.1177/03611981211026653.
Gaweesh, S. M., I. Ahmed, and M. M. Ahmed. 2023. “Analysis framework to assess crash severity for large trucks on rural interstate roads utilizing the latent class and random parameter model.” Transp. Res. Rec. 10 (Jun): 158–175. https://doi.org/10.1177/03611981231158627.
Gaweesh, S. M., I. U. Ahmed, M. M. Ahmed, and S. S. Wulff. 2022. “Developing statewide safety performance functions for commercial trucks transporting hazardous materials on interstate rural roads in Wyoming.” Transp. Res. Rec. 2022 (1): 036119812211032. https://doi.org/10.1177/03611981221103231.
Gaweesh, S. M., and M. M. Ahmed. 2019. “Evaluating the safety effectiveness of a weather-based variable speed limit for a rural mountainous freeway in Wyoming.” J. Transp. Saf. Security 10 (Jun): 1–26. https://doi.org/10.1080/19439962.2019.1583707.
Gaweesh, S. M., and M. M. Ahmed. 2020. “Evaluating the safety effectiveness of a weather-based variable speed limit for a rural mountainous freeway in Wyoming.” J. Transp. Saf. Security 12 (10): 1205–1230. https://doi.org/10.1080/19439962.2019.1583707.
Gaweesh, S. M., M. M. Ahmed, and A. V. Piccorelli. 2019. “Developing crash prediction models using parametric and nonparametric approaches for rural mountainous freeways: A case study on Wyoming Interstate 80.” Accid. Anal. Prev. 123 (Dec): 176–189. https://doi.org/10.1016/j.aap.2018.10.011.
Gaweesh, S. M., A. Khoda Bakhshi, and M. M. Ahmed. 2021b. “Safety performance assessment of connected vehicles in mitigating the risk of secondary crashes: A driving simulator study.” In Proc., Transportation Research Board 100th Annual Meeting. Washington, DC: Transportation Research Board.
Geedipally, S. R., and D. Lord. 2010. “Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gamma models.” Accid. Anal. Prev. 42 (4): 1273–1282. https://doi.org/10.1016/j.aap.2010.02.004.
Hamdar, S. H., H. S. Mahmassani, and R. B. Chen. 2008. “Aggressiveness propensity index for driving behavior at signalized intersections.” Accid. Anal. Prev. 40 (1): 315–326. https://doi.org/10.1016/j.aap.2007.06.013.
Hassan, H. 2011. Improving traffic safety and drivers’ behavior in reduced visibility conditions. Orlando, FL: Univ. of Central Florida.
Hassan, H. M., and M. A. Abdel-Aty. 2013. “Exploring the safety implications of young drivers’ behavior, attitudes and perceptions.” Accid. Anal. Prev. 50 (Jun): 361–370. https://doi.org/10.1016/j.aap.2012.05.003.
Hatcher, L., and N. O’Rourke. 2013. A step-by-step approach to using SAS for factor analysis and structural equation modeling. Cary, NC: SAS Institute.
Hooper, D., J. Couglan, and M. R. Mullen. 2008. “Evaluating model fit: A synthesis of the structural equation modelling literature.” In Vol. 2008 of Proc., 7th European Conf. on Research Methodology for Business and Management Studies, 195–200. South Oxfordshire, UK: Academic Conferences and Publishing.
Hu, L., and P. M. Bentler. 1999. “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.” Struct. Equation Model. 6 (1): 1–55. https://doi.org/10.1080/10705519909540118.
Hurley, A. E., T. A. Scandura, C. A. Schriesheim, M. T. Brannick, A. Seers, R. J. Vandenberg, and L. J. Williams. 1997. “Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives.” J. Organ. Behav. 18 (6): 667–683. https://doi.org/10.1002/(SICI)1099-1379(199711)18:6%3C667::AID-JOB874%3E3.0.CO;2-T.
Irfan Ahmed, S., M. Gaweesh, and M. Ahmed. 2020. “Exploration of hazardous material truck crashes on Wyoming’s interstate roads using a novel Hamiltonian Monte Carlo Markov chain Bayesian inference.” Transp. Res. Rec. 2674 (9): 661–675. https://doi.org/10.1177/0361198120931103.
Islam, S., S. L. Jones, and D. Dye. 2014. “Comprehensive analysis of single- and multi-vehicle large truck at-fault crashes on rural and urban roadways in Alabama.” Accid. Anal. Prev. 67 (Sep): 148–158. https://doi.org/10.1016/j.aap.2014.02.014.
Kaplan, D. 2000. Structural equation modeling. Foundations and extensions. London: SAGE.
Kervick, A. A., M. J. Hogan, D. O’Hora, and K. M. Sarma. 2015. “Testing a structural model of young driver willingness to uptake smartphone driver support systems.” Accid. Anal. Prev. 83 (Jun): 171–181. https://doi.org/10.1016/j.aap.2015.07.023.
Khattak, A. J., and F. Targa. 2004. “Injury severity and total harm in truck-involved work zone crashes.” Transp. Res. Rec. 1877 (1): 106–116. https://doi.org/10.3141/1877-12.
Khoda Bakhshi, A., S. M. Gaweesh, and M. M. Ahmed. 2021. “The safety performance of connected vehicles on slippery horizontal curves through enhancing truck drivers’ situational awareness: A driving simulator experiment.” Transp. Res. Part F Traffic Psychol. Behav. 79 (Jun): 118–138. https://doi.org/10.1016/j.trf.2021.04.017.
Kim, K., P. Pant, and E. Yamashita. 2011. “Measuring influence of accessibility on accident severity with structural equation modeling.” Transp. Res. Rec. 2236 (1): 1–10. https://doi.org/10.3141/2236-01.
Lee, J.-Y., J.-H. Chung, and B. Son. 2008. “Analysis of traffic accident size for Korean highway using structural equation models.” Accid. Anal. Prev. 40 (6): 1955–1963. https://doi.org/10.1016/j.aap.2008.08.006.
Lei, P. W. 2009. “Evaluating estimation methods for ordinal data in structural equation modeling.” Qual. Quant. 43 (3): 495–507. https://doi.org/10.1007/s11135-007-9133-z.
Lemp, J. D., K. M. Kockelman, and A. Unnikrishnan. 2011. “Analysis of large truck crash severity using heteroskedastic ordered probit models.” Accid. Anal. Prev. 43 (1): 370–380. https://doi.org/10.1016/j.aap.2010.09.006.
Li, C. H. 2016. “Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.” Behav. Res. Methods 48 (3): 936–949. https://doi.org/10.3758/s13428-015-0619-7.
Mohamadi Hezaveh, A., M. Azad, and C. Cherry. 2018. “Pedestrian crashes in Tennessee: A data mining approach.” In Proc., Transportation Research Board 97th Annual Meeting. Washington, DC: Transportation Research Board.
Montella, A., M. Aria, A. D’Ambrosio, and F. Mauriello. 2012. “Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery.” Accid. Anal. Prev. 49 (Apr): 58–72. https://doi.org/10.1016/j.aap.2011.04.025.
Moridpour, S., E. Mazloumi, and M. Mesbah. 2015. “Impact of heavy vehicles on surrounding traffic characteristics.” J. Adv. Transp. 49 (Aug): 535–552. https://doi.org/10.1002/atr.1286.
Naik, B., L. W. Tung, S. Zhao, and A. J. Khattak. 2016. “Weather impacts on single-vehicle truck crash injury severity.” J. Saf. Res. 58 (Jul): 57–65. https://doi.org/10.1016/j.jsr.2016.06.005.
Nazim, A., and S. Ahmad. 2013. “A comparison between ordinary least square (OLS) and structural equation modeling (SEM) methods in estimating the influencial factors of 8th grades student’s mathematics achievement in Malaysia.” Int. J. Sci. Eng. Res. 4 (7): 717–722.
Prati, G., L. Pietrantoni, and F. Fraboni. 2017. “Using data mining techniques to predict the severity of bicycle crashes.” Accid. Anal. Prev. 101 (Jan): 44–54. https://doi.org/10.1016/j.aap.2017.01.008.
Raddaoui, O., M. M. Ahmed, and S. M. Gaweesh. 2020. “Assessment of the effectiveness of connected vehicle weather and work zone warnings in improving truck driver safety.” IATSS Res. 44 (3): 1–11. https://doi.org/10.1016/j.iatssr.2020.01.001.
Ramos, A. 2014. Simultaneous equation modeling for crash rate of freeway segments. Las Vegas: Univ. of Nevada.
Rhemtulla, M., P. É. Brosseau-Liard, and V. Savalei. 2012. “When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.” Psychol. Methods 17 (3): 354–373. https://doi.org/10.1037/a0029315.
Rosseel, Y. 2014. The Lavaan tutorial. Ghent, Belgium: Ghent Univ.
Shaaban, K., S. Gaweesh, and M. Ahmed. 2020. “Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling.” PLoS One 15 (7): e0235325. https://doi.org/10.1371/journal.pone.0235325.
Shaaban, K., S. Gaweesh, and M. M. Ahmed. 2018. “Characteristics and mitigation strategies for cell phone use while driving among young drivers in Qatar.” J. Transp. Health 8 (Mar): 6–14. https://doi.org/10.1016/j.jth.2018.02.001.
Siskind, V., D. Steinhardt, M. Sheehan, T. O’Connor, and H. Hanks. 2011. “Risk factors for fatal crashes in rural Australia.” Accid. Anal. Prev. 43 (3): 1082–1088. https://doi.org/10.1016/j.aap.2010.12.016.
Song, Y., and Y. Lu. 2015. “Decision tree methods: Applications for classification and prediction.” Shanghai Arch. Psychiatry 27 (2): 130. https://doi.org/10.11919/J.ISSN.1002-0829.215044.
Suhr, D. 2006. The basics of structural equation modeling. Irvine, CA: SAS User Group of the Western Region of the United States.
Tahfim, S. A. S., and C. Yan. 2022. “Analysis of spatial concentrations of large-truck crashes using data mining methods.” Int. J. Saf. Security Eng. 12 (1): 55–64. https://doi.org/10.18280/ijsse.120107.
Taylor, S. G., B. J. Russo, and E. James. 2018. “A comparative analysis of factors affecting the frequency and severity of freight-involved and non-freight crashes on a major freight corridor freeway.” Transp. Res. Rec. 2672 (34): 49–62. https://doi.org/10.1177/0361198118776815.
Ture, M., F. Tokatli, and I. Kurt. 2009. “Using Kaplan–Meier analysis together with decision tree methods (C&RT, CHAID, QUEST, C4.5 and ID3) in determining recurrence-free survival of breast cancer patients.” Expert Syst. Appl. 36 (2): 2017–2026. https://doi.org/10.1016/j.eswa.2007.12.002.
Uddin, M., and N. Huynh. 2017. “Truck-involved crashes injury severity analysis for different lighting conditions on rural and urban roadways.” Accid. Anal. Prev. 108 (Mar): 44–55. https://doi.org/10.1016/j.aap.2017.08.009.
Wang, K., and X. Qin. 2014. “Use of structural equation modeling to measure severity of single-vehicle crashes.” Transp. Res. Rec. 2432 (1): 17–25. https://doi.org/10.3141/2432-03.
Worth, M., S. Guerrero, and A. Meyers. 2016. 2016 freight quick facts report. Rep. No. FHWA-HOP-16-083. Washington, DC: Federal Highway Administration.
Wyoming DOT. 2018. Wyoming Strategic Highway Safety Plan. Cheyenne, WY: Wyoming DOT.
Xu, C., D. Li, Z. Li, W. Wang, and P. Liu. 2018. “Utilizing structural equation modeling and segmentation analysis in real-time crash risk assessment on freeways.” KSCE J. Civ. Eng. 22 (7): 2569–2577. https://doi.org/10.1007/s12205-017-0629-3.
Yang-Wallentin, F., K. G. Jöreskog, and H. Luo. 2010. “Confirmatory factor analysis of ordinal variables with misspecified models.” Struct. Equation Model. 17 (3): 392–423. https://doi.org/10.1080/10705511.2010.489003.
Yu, R., M. Abdel-Aty, and M. Ahmed. 2013. “Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors.” Accid. Anal. Prev. 50 (Mar): 371–376. https://doi.org/10.1016/j.aap.2012.05.011.
Zheng, Z., P. Lu, and B. Lantz. 2018. “Commercial truck crash injury severity analysis using gradient boosting data mining model.” J. Saf. Res. 65 (Jul): 115–124. https://doi.org/10.1016/j.jsr.2018.03.002.
Zhu, X., and S. Srinivasan. 2011. “A comprehensive analysis of factors influencing the injury severity of large-truck crashes.” Accid. Anal. Prev. 43 (1): 49–57. https://doi.org/10.1016/j.aap.2010.07.007.
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Journal of Transportation Engineering, Part A: Systems
Volume 150 • Issue 1 • January 2024
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© 2023 American Society of Civil Engineers.
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Received: Mar 28, 2022
Accepted: May 12, 2023
Published online: Oct 20, 2023
Published in print: Jan 1, 2024
Discussion open until: Mar 20, 2024
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