Optimizing a dispatch system using an AI simulation framework | Uber Global
Bradley Voytek reporting on the latest science project we're toying with: an AI simulation framework which examines thousands of driver/client interactions and behaviors within a city to optimize a city system.
Why are we doing this? At its core, Uber as a software platform currently has two main goals:
- On the rider side, getting you a ride when you need it.
- On the driver side, maximize trips taken on the system, which maximizes our driver partners' earnings.
Read full article from Optimizing a dispatch system using an AI simulation framework | Uber Global
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