Subject: Product Feature Suggestion: Dynamic Route Prediction Based on Estimated Time of Arrival at Bottlenecks

Hi Waze Team,

I would like to share a feature suggestion based on a real-world driving experience.

Last week, at around 4:00 PM, I set out on a trip from Joinville to Rio do Sul (Santa Catarina, Brazil). At departure, Waze suggested Route 1 (via BR-101 / Navegantes) as the fastest option. However, the route selection was based on the traffic conditions across the entire path at 4:00 PM.

As a result, by the time I reached the Blumenau area around 6:00 PM, I ran straight into the predictable rush-hour gridlock on the BR-470 highway. Had I taken Route 2 (via Jaraguá do Sul) at 4:00 PM, I would have avoided kilometers of heavy traffic altogether.

My Proposal:
Integrate a predictive AI/Machine Learning model that calculates route efficiency continuously over time. Instead of assessing current traffic along the whole trip at departure, the algorithm should project expected traffic conditions for the exact time the driver is estimated to hit each specific segment (e.g., predicting 6:00 PM traffic in Blumenau for a driver departing Joinville at 4:00 PM).

This forward-looking approach would make long-distance routing significantly more accurate and stress-free.

Thank you for your great work on the app!