What is the best approach to improve the accuracy of an AI-based route optimization system?

Increasing the frequency of real-time data updates to the AI system is the best approach to enhance the accuracy of an AI-based route optimization system. Real-time updates provide the AI with the latest information regarding traffic conditions, weather changes, road closures, and other dynamic factors that can significantly affect route efficiency. The more frequently the AI can access and process current data, the better it can adapt its recommendations to reflect the evolving conditions on the ground.

In contrast, relying solely on historical data without real-time updates does not account for immediate changes and may result in suboptimal routing decisions. Deploying the AI system on a CPU cluster may improve processing power, but it does not inherently enhance the accuracy of the model’s outputs. Finally, reducing the number of input variables to simplify the model could lead to the loss of critical information, which may detract from the model's ability to learn and make effective predictions about route optimization.