References
- Abdelwahab, H.T., & Abdel-Aty, M.A. (2001). Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections. Transportation Research Record, 1746, 6–13.
- Baluni, P., & Raiwani, Y.P. (2014). Vehicular accident analysis using neural network. International Journal of Emerging Technology and Advanced Engineering, 4(9), 161–164.
- Chang, L.Y., & Wang, H.W. (2006). Analysis of traffic injury severity: An application of non-parametric classification tree techniques. Accident Analysis and Prevention, 38, 1019–1027.
- Chong, M.M., Abraham, A., & Paprzycki, M. (2004). Traffic accident analysis using decision trees and neural network. Retrieved from http://arxiv.org/ftp/cs/papers/0405/0405050.pdf
- Delen, D., Sharda, R., & Bessonov, M. (2006). Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks. Accident Analysis & Prevention, 38, 434–444.
- Dia, H., & Rose, G. (1997). Development and evaluation of neural network freeway incident detection models using field data. Transportation Research C, 5(5), 313–331.
- Haykin, S. (1999). Neural networks. Upper Saddle River, NJ: Prentice Hall International.
- Kopelias, P., Papadimitriou, F., Papandreou, K., & Prevedouros, P. (2007). Urban freeway crash analysis. Transportation Research Record, 2015, 123–131.
- Montella, A., Aria, M., Ambrosio, A.D., & Mauriello, F. (2012). Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery. Accident Analysis and Prevention, 49, 58–72.
- Mussone, L., Ferrari, A., & Oneta, M. (1999). An analysis of urban collisions using an artificial intelligence model. Accident Analysis and Prevention, 31, 705–718.
- Shankar, V., Mannering, F., & Barfield, W. (1996). Statistical analysis of accident severity on rural freeways. Accident Analysis & Prevention, 28(3), 391–401.
- Shanthi, S., & Ramani, G. (2011). Classification of vehicle collision patterns in road accidents using data mining algorithms. International Journal of Computer Applications, 35, 12.
- Yang, W.T., Chen, H.C., & Brown, D.B. (1999). Detecting safer driving patterns by a neural network approach. In ANNIE ’99 for the Proceedings of Smart Engineering System Design Neural Network, Evolutionary Programming, Complex Systems and Data Mining (Vol. 9, pp. 839—844), St. Louis, MO: ASME Press.
- Zembowicz, R., & Zytkow, J.M. (1996). From contingency tables to various forms of knowledge in database. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.). Advances in knowledge discovery and data mining (pp. 329–349). Menlo Park, CA: AAAI Press/The MIT Press.