Predicting Road Traffic Collisions Using a Two-Layer Ensemble Machine Learning Algorithm
James Oduor Oyoo,
Jael Sanyanda Wekesa,
Kennedy Odhiambo Ogada
Abstract:Road traffic collisions are among the world’s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation using different approaches and techniques at different stretches and intersections. In this paper, we propose a two-layer ensemble machine learning (ML) technique to assess and predict road traffic collisions using data from a driving simulator. The first (base) layer in… Show more
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