Identification of the best machine learning model for the prediction of driver injury severity-Reference-Cited by-同舟云学术

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Identification of the best machine learning model for the prediction of driver injury severity

Published:2024-04-04 Issue:3 Volume:31 Page:360-375
ISSN:1745-7300
Container-title:International Journal of Injury Control and Safety Promotion
language:en
Short-container-title:International Journal of Injury Control and Safety Promotion

Author:

Sorum Neero Gumsar¹^ORCID,Pal Dibyendu¹^ORCID

Affiliation:

1. Department of Civil Engineering, North Eastern Regional Institute of Science & Technology, Nirjuli, Arunachal Pradesh, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2024.2335478

Reference82 articles.

1. Predicting Injury Severity Levels in Traffic Crashes: A Modeling Comparison

2. Analysis of traffic accident severity using Decision Rules via Decision Trees

3. Predicting the Severity of Motor Vehicle Accident Injuries in Adana-Turkey Using Machine Learning Methods and Detailed Meteorological Data

4. Factors associated with driver injury severity of lane changing crashes involving younger and older drivers

5. Application of support vector machine for crash injury severity prediction: A model comparison approach;Aghayan I.;Journal of Civil Engineering and Urbanism,,2015

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