- آمار متوفیات و مصدومین حوادث رانندگی طی شش ماهه ی اول 98. 1398, سازمان پزشکی قانونی کشور.
- مهیمنی, ا، نیکو,ن. شناسایی مهمترین عوامل موثر در شدت تصادفات موتورسیکلت در جاده های اصلی با استفاده از مدل درخت تصمیم, کنفرانس ترافیک. 1392.
- حیدری, ح، خسروی,م. بررسی رابطه پایگاه اجتماعی اقتصادی و میزان احترام به قوانین راهنمایی و رانندگی. فصلنامه علمی ترویجی راهور, 1395. 13(35).
- Petridou, E. and M. Moustaki, Human factors in the causation of road traffic crashes. European journal of epidemiology, 2000. 16(9): p. 819-826.
- Pakgohar, A., et al., The role of human factor in incidence and severity of road crashes based on the CART and LR regression: a data mining approach. Procedia Computer Science, 2011. 3: p. 764-769.
- Wang, X. and S.H. Kim, Prediction and Factor Identification for Crash Severity: Comparison of Discrete Choice and Tree-Based Models. Transportation Research Record, 2019: p. 0361198119844456.
- Wahab, L. and H. Jiang, A comparative study on machine learning based algorithms for prediction of motorcycle crash severity. PloS one, 2019. 14(4): p. e0214966.
- Mussone, L., M. Bassani, and P. Masci, Analysis of factors affecting the severity of crashes in urban road intersections. Accident Analysis & Prevention, 2017. 103: p. 112-122.
- Tavakoli Kashani, A. and M.M. Besharati, An analysis of vehicle occupants’ injury severity in crashes occurred on rural freeways and multilane highways in Iran. International Journal of Transportation Engineering, 2016. 4(2): p. 137-146.
- Breiman, l., et al., Classification and regression trees. 1998: CHAPMAN & HALL/CRC.
- Wu, Q., et al., Analysis of driver injury severity in single-vehicle crashes on ruraland urban roadways. Accident Analysis & Prevention, 2016.
