About this document
Results and Accuracy by sayantipanja542 is a document available to read on EtoBox.
The AI-based fuel-efficient route optimization system demonstrated a high performance with an R² score of 0.96, indicating it explains 96% of the variation in fuel consumption. The model showed low prediction errors with MAE of 0.27 L/h and RMSE of 0.37 L/h, outperforming traditional routing systems. It accurately predicts fuel consumption for each route segment and recommends the most fuel-efficient route rather than just the shortest one.
- Author
- sayantipanja542
- Language
- EN