Revmax?s predictive platform may help driverless cars find their next trip; New York City is already interested For taxi drivers in New York, finding their next fare is second nature, both a function of being in a busy neighborhood, or positioning their car near a stadium or concert hall just when a big event finishes. Uber and Lyft drivers, on the other hand, rely on algorithmically generated real-time surge alerts that direct them to areas of high demand?and increased fares.
Revmax, a Brooklyn-based startup, believes data can trump instinct, and make even better predictions about where to place vehicles. The company?s nascent platform, a data-driven demand forecasting system, helps route cars using event information and machine learning, with the goal of making vehicle fleets more efficient. Ideally, a car will know where to be before you call for a ride. ?There?s a blatant, obvious need for a routing service,? says the company?s CEO, Jonathan Weekley. ?There?s a segment of drivers who think they know the right place to go. When you combine simple statistics and machine learning, you can definitely route a vehicle much more efficiently.?

Part of the URBAN-X accelerator for urban tech based in Greenpoint, the company is already working on a user-interface project for the New York City Taxi & Limousine commission, according to an agency spokesperson. But they have bigger ambitions, according to Weekley: providing some of the brains that will dir...