Hybrid SLnOdragonfly optimised CNN for enhanced prediction of injury severity in traffic accidents

Key Points

• This research aims to improve the prediction of injury severity in traffic accidents using an optimized convolutional neural network (CNN).
• Developed a hybrid SLnOdragonfly optimized CNN model.
• Applied the model to data from traffic accidents for enhanced predictions.
• Analyzed the performance based on accuracy metrics.
• Achieved a significantly higher prediction accuracy compared to traditional models.
• Showed improved outcomes in predicting severe injuries, enhancing decision-making in emergency responses.