Journal ArticleOpen Access
A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance
Author Affiliations
Manukau Institute of Technology, Taylor's University, University of Alberta, BRAC University
Published InTransportation Research Interdisciplinary Perspectives
Year2023
Citations170
Abstract
Road accidents are increasing worldwide and are causing millions of deaths each year. They impose significant financial and economic expenses on society. Existing research has mostly studied road accident prediction as a classification problem, which aims to predict whether a traffic accident may happen in the future or not without exploring the underneath relationships between the complicated factors contributing to road accidents. A number of research have been done to date to explore the importance of road accident contributing factors in relation to road accidents and their severity, however, only a few of those research have explored a subset of ensemble ML models and the New Zealand (NZ) road accident dataset. Therefore, in this paper, we have evaluated a set…
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