-Abay, K. A., Paleti, R., & 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.
-Alkheder, S., AlRukaibi, F., & Aiash, A. (2020). Risk analysis of traffic accidents’ severities: An application of three data mining models. ISA Transactions, 106, 213-220.
-Araujo, M., Illanes, E., Chapman, E., & Rodrigues, E. (2017). Effectiveness of interventions to prevent motorcycle injuries: systematic review of the literature. International Journal of Injury Control and Safety Promotion, 24(3), 406-422.
-Arefkhani, H., Besharati, M. M., Azizi Bondarabadi, M., & Tavakoli Kashani, A. (2021). How does the incompatibility of different vehicle types affect the odds of driver injury? Journal of Transportation Safety & Security, 13(8), 860-876.
-Bank, W. (2020). Guide for Road Safety Opportunities and Challenges: Low and Middle Income Country Profiles.
-Beanland, V., Fitzharris, M., Young, K. L., & Lenné, M. G. (2013). Driver inattention and driver distraction in serious casualty crashes: Data from the Australian National Crash In-depth Study. Accident Analysis & Prevention, 54, 99-107.
-Borg, A., Bjelland, H., & Njå, O. (2014). Reflections on Bayesian Network models for road tunnel safety design: A case study from Norway. Tunnelling and Underground Space Technology, 43, 300-314.
-Breen, J. M., Næss, P. A., Hansen, T. B., Gaarder, C., & Stray-Pedersen, A. (2020). Serious motor vehicle collisions involving young drivers on Norwegian roads 2013–2016: Speeding and driver-related errors are the main challenge. Traffic Injury Prevention, 21(6), 382-388.
-Breiman, L. (2017). Classification and regression trees. Routledge.
-Cabrera-Arnau, C., Prieto Curiel, R., & Bishop, S. R. (2020). Uncovering the behaviour of road accidents in urban areas. Royal Society Open Science, 7(4), 191739.
-Celik, A. K., & Oktay, E. (2014). A multinomial logit analysis of risk factors influencing road traffic injury severities in the Erzurum and Kars Provinces of Turkey. Accident Analysis & Prevention, 72, 66-77.
-Chang, L.-Y., & Wang, H.-W. (2006). Analysis of traffic injury severity: An application of non-parametric classification tree techniques. Accident Analysis & Prevention, 38(5), 1019-1027.
-Chen, C., Zhang, G., Tarefder, R., Ma, J., Wei, H., & Guan, H. (2015). A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes. Accident Analysis & Prevention, 80, 76-88.
-Chu, H.-C. (2014). Assessing factors causing severe injuries in crashes of high-deck buses in long-distance driving on freeways. Accident Analysis & Prevention, 62, 130-136.
-Connor, J., Norton, R., Ameratunga, S., Robinson, E., Civil, I., Dunn, R., Bailey, J., & Jackson, R. (2002). Driver sleepiness and risk of serious injury to car occupants: population based case control study. Bmj, 324(7346), 1125.
-Copsey, N., Drupsteen, L., van Kampen, J., Kuijt-Evers, L., Schmitz-Felten, E., & Verjans, M. (2010) .A review of accidents and injuries to road transport drivers.
-Faso, B. (2019). Institute for Health Metrics and Evaluation. Institute for Health Metrics and Evaluation.
-Gregoriades, A., & Mouskos, K. C. (2013). Black spots identification through a Bayesian Networks quantification of accident risk index. Transportation Research Part C: Emerging Technologies, 28, 28-43.
-Hagel, B. E., Ruest, N., Morgunov, N., Embree, T., Couperthwaite, A. B., Voaklander, D., & Rowe, B. H. (2012). Do visibility aids reduce the risk of motor-vehicle injury in bicyclists? Injury Prevention, 18(Suppl 1), A36-A37.
-Haleem, K., & 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.
-Hänninen, M. (2014). Bayesian networks for maritime traffic accident prevention: Benefits and challenges. Accident Analysis & Prevention, 73, 305-312.
-Hossain, M., & Muromachi, Y. (2012). A Bayesian network based framework for real-time crash prediction on the basic freeway segments of urban expressways. Accident Analysis & Prevention, 45, 373-381.
-Høye, A. (2020). Speeding and impaired driving in fatal crashes—Results from in-depth investigations. Traffic Injury Prevention, 21(7),425-430.
-Kashani, A. T., & Mohaymany, A. S. (2011). Analysis of the traffic injury severity on two-lane, two-way rural roads based on classification tree models. Safety Science, 49(10), 1314-1320.
-Khattak, A. J., Ahmad, N., Wali, B., & Dumbaugh, E. (2021). A taxonomy of driving errors and violations: Evidence from the naturalistic driving study. Accident Analysis & Prevention, 151, 105873.
-Khosbayar, A., Valluru, J., & Huang, B. (2021). Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data. Journal of Process Control, 105, 48-61.
-Kurgan, R. W. S. L. A., Cios, K. J., & Pedrycz, W. (2007). Data Mining: A Knowledge Discovery Approach. Springer.
-Lee, C., & Abdel-Aty, M. (2008). Presence of passengers: does it increase or reduce driver's crash potential? Accident Analysis & Prevention, 40(5), 1703-1712.
-Mbakwe, A. C., Saka, A. A., Choi, K., & Lee, Y. J. (2016). Alternative method of highway traffic safety analysis for developing countries using delphi technique and Bayesian network. Accident Analysis & Prevention, 93, 135-146.
-Mujalli, R. O., & De Oña, J. (2011). A method for simplifying the analysis of traffic accidents injury severity on two-lane highways using Bayesian networks. Journal of Safety Research, 42(5), 317-326.
-Olowosegun, A., Babajide, N., Akintola, A., Fountas, G., & Fonzone, A. (2022). Analysis of pedestrian accident injury-severities at road junctions and crossings using an advanced random parameter modelling framework: The case of Scotland. Accident Analysis & Prevention, 169, 106610.
-Pande, A., & Abdel-Aty, M. (2006). Assessment of freeway traffic parameters leading to lane-change related collisions. Accident Analysis & Prevention, 38(5), 936-948.
-Patil, S., Geedipally, S. R., & Lord, D. (2012). Analysis of crash severities using nested logit model—accounting for the underreporting of crashes. Accident Analysis & Prevention, 45, 646-653.
-Razzaghi, A., Soori, H., Kavousi, A., Abadi, A., & Khosravi, A. (2019). Factors with the highest impact on road traffic deaths in Iran; an ecological study. Archives of Academic Emergency Medicine, 7(1).
-Savolainen, P., & Mannering, F. (2007). Probabilistic models of motorcyclists’ injury severities in single-and multi-vehicle crashes. Accident Analysis & Prevention, 39(5),955-963.
-Shaon, M. R. R., Qin, X., Chen, Z., & Zhang, J. (2018). Exploration of contributing factors related to driver errors on highway segments. Transportation Research Record, 2672(38), 22-34.
-Su, J., & Zhang, H. (2006). Full Bayesian network classifiers. Proceedings of the 23rd international conference on Machine learning,
-Ulak, M. B., Ozguven, E. E., Vanli, O. A., Dulebenets, M. A., & Spainhour, L. (2018). Multivariate random parameter Tobit modeling of crashes involving aging drivers, passengers, bicyclists, and pedestrians: Spatiotemporal variations. Accident Analysis & Prevention, 121, 1-13.
-Vollrath, M., Meilinger, T., & Krüger, H.-P. (2002). How the presence of passengers influences the risk of a collision with another vehicle. Accident Analysis & Prevention, 34(5), 649-654.
-Wang, K., & Qin, X. (2015). Exploring driver error at intersections: key contributors and solutions. Transportation Research Record, 2514(1), 1-9.
-Williamson, A., Friswell, R., Olivier, J., & Grzebieta, R. (2014). Are drivers aware of sleepiness and increasing crash risk while driving? Accident Analysis & Prevention, 70, 225-234.
-Wood, J. M., Tyrrell, R. A., & Carberry, T. P. (2003). Pedestrian visibility at night: Effects of pedestrian clothing, driver age, and headlamp beam setting. TRB 2003 Annual Meeting.
-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 & Prevention, 72, 105-115.
-Wu, Q., Zhang, G., Ci, Y., Wu, L., Tarefder, R. A., & Alcántara, A. D. (2016). Exploratory multinomial logit model–based driver injury severity analyses for teenage and adult drivers in intersection-related crashes. Traffic Injury Prevention, 17(4), 413-422.
-Yadav, A. K., & Velaga, N. R. (2020). An investigation on the risk factors associated with driving errors under the influence of alcohol using structural equation modeling. Traffic Injury Prevention, 21(4), 288-294.
-Zajac, S. S., & Ivan, J. N. (2003). Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut. Accident Analysis & Prevention, 35(3), 369-379.
