In designing an Estimated Time of Arrival (ETA) model, there are several metrics that are crucial to consider. These include: 1. Distance: The distance between the pickup location and the destination is a key factor in determining the ETA. This can be calculated using GPS data. 2. Traffic: Real-time traffic data can be used to estimate how long it will take for the driver to reach the destination. This can include current traffic conditions, road closures, and accidents. 3. Historical Data: Historical data on previous trips can be used to predict travel times based on similar routes and conditions. This can help to improve the accuracy of the ETA model over time. 4. Weather: Weather conditions can have a significant impact on travel times. Rain, snow, and other adverse weather conditions can slow down travel times, while clear weather can speed them up. 5. Driver behavior: The driving behavior of individual drivers can also impact the ETA. Factors such as speed, route choices, and traffic violations can all affect how long it takes to reach the destination. By taking into account these metrics, a well-designed ETA model can provide accurate and reliable estimated arrival times for customers, helping to improve the overall customer experience and satisfaction.