A Hybrid Machine Learning Ensemble for Multi-Region Road Traffic Accident Severity Prediction

<p dir="ltr">Road traffic accidents (RTAs) are currently a global concern, particularly among the low- and middle-income countries, which have limited resources and infrastructure to support road safety research. To address this challenge, this research aimed to design, develop and evaluate the performance of a hybrid machine learning ensemble for multi-region RTA severity prediction. Performance evaluation confirmed the real-world potential of the proposed model for smart cities and connected vehicles, such as efficient traffic management, prompt emergency response and smart navigation at RTA scenes. Overall, this research empowers the communities with AI-driven solutions for road safety enhancement.</p>