Uber doesn't always send the nearest car to the user due to a complex algorithmic logic behind it. When a passenger makes a request, the application doesn't simply look for the closest driver, but rather one that optimizes the trip considering multiple factors simultaneously.
The platform divides geographic zones into small map cells, each with its own characteristics of demand and driver availability. This data is crossed with real-time traffic forecasts, which allow anticipating congestion and choosing faster routes.
Uber also combines multiple simultaneous requests, seeking to optimize not just an individual passenger's experience, but the overall efficiency of the entire ride network. This means a driver may be on their way to pick up another passenger, even when another closer one is available.
The company's goal is to maximize the number of completed trips and reduce wait times for as many users as possible, even if that means sending a car that isn't literally the nearest one from the pickup point.
