Prediction of Road Traffic Accident Severity Using Machine Learning Techniques in the Case of Addis Ababa-Reference-Cited by-同舟云学术

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Prediction of Road Traffic Accident Severity Using Machine Learning Techniques in the Case of Addis Ababa

Published:2024 Issue: Volume: Page:129-144
ISSN:2522-8595
Container-title:EAI/Springer Innovations in Communication and Computing
language:en
Short-container-title:

Author:

Wubineh Betelhem Zewdu^ORCID,Asamenew Yigezu Agonafir^ORCID,Kassa Semachew Molla^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-64495-5_10

Reference33 articles.

1. Traffic Collision. [Online]. Available: https://www.walshmedicalmedia.com/scholarly/traffic-collision-journals-articles-ppts-list-3345.html

2. Rajkumar, A.R., Prabhakar, S., Priyadharsini, A.M.: Prediction of road accident severity using machine learning algorithm. Int. J. Adv. Sci. Technol. 29(6), 116–120 (2020)

3. Bazargani, H.S., Vahidi, R.G., Abhari, A.A.: Predictors of survival in motor vehicle accidents among motorcyclists, bicyclists and pedestrians. Trauma Mon. 22(2), 4–10 (2017). https://doi.org/10.5812/traumamon.26019

4. Hayidso, T.H., Gemeda, D.O., Abraham, A.M.: Identifying road traffic accidents hots. Transp. Telecommun. [Online]. Available: https://www.longdom.org/scholarly/traffic-collision-journals-articles-ppts-list-3345.html

5. Road traffic injuries. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries

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