Comparative Analysis on the Prediction of Road Accident Severity Using Machine Learning Algorithms
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8721-1_26
Reference23 articles.
1. Alkheder S, Alrukaibi F, Aiash A (2020) Risk analysis of traffic accidents’ severities: an application of three data mining models. ISA Trans 106:213–220
2. Almamlook RE, Kwayu KM, Alkasisbeh MR, Frefer AA (2019) Comparison of machine learning algorithms for predicting traffic accident severity. In: 2019 IEEE Jordan international joint conference on electrical engineering and information technology (JEEIT)
3. Bharadwaj N, Edara P, Sun C (2019) Risk factors in work zone safety events: a naturalistic driving study analysis. Transp Res Rec J Transp Res Board 2673(1):379–387
4. Chen H, Zhao Y, Ma X (2020) Critical factors analysis of severe traffic accidents based on Bayesian network in China. J Adv Transp 2020:1–14
5. Choi J, Gu B, Chin S, Lee J (2020) Machine learning predictive model based on national data for fatal accidents of construction workers. Autom Construct 110:102974
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