Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN) and Bayesian Network for prediction and analysis of GCC traffic accidents-Reference-Cited by-同舟云学术

Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN) and Bayesian Network for prediction and analysis of GCC traffic accidents

Published:2022-10-13 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

AlKheder Sharaf,AlRukaibi Fahad,Aiash Ahmad

Funder

Kuwait University

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-04441-4.pdf

Reference24 articles.

1. Ahmed M, Franke R, Ksaibati K, Shinstine D (2018) Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models. Accid Anal Prev 117:106–113

2. Breiman L, Friedman JH, Olshen R, Stone C (1984) Classification and Regression Trees. Chapman and Hall/CRC, Boca Raton

3. Chang L-Y, Wang H-W (2006) Analysis of traffic injury severity: an application of non-parametric classification tree techniques. Accid Anal Prev 38(5):1019–1027

4. Chen C, Zhang G, Qian Z, Tarefder RA, Tian Z (2016) Investigating driver injury severity patterns in rollover crashes using support vector machine models. Accid Anal Prev 90:128–139

5. Chou PA (1991) Optimal partitioning for classification and Regression Trees. IEEE Trans Pattern Anal Mach Intell 13(4):340–354

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