A Decision-Making Model for Predicting the Severity of Road Traffic Accidents Based on Ensemble Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8493-8_57
Reference18 articles.
1. World Health Organization (2018) Global status report on road safety 2018. URL https://www.who.int/publications-detail/global-status-report-onroad-safety-2018.
2. Africa. http://www.xinhuanet.com/english/africa/2021-03/03/c_139781169.htm
3. Xiao J (2019) SVM and KNN ensemble learning for traffic incident detection. Physica A 517:29–35
4. Yassin SS (2020) Road accident prediction and model interpretation using a hybrid K-means and random forest algorithm approach. SN Appl Sci 2(9):1–13
5. Alkheder S, Taamneh M, Taamneh S (2017) Severity prediction of traffic accident using an artificial neural network. J Forecast 36(1):100–108
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