Last week, Ford announced it was working with cloud computing and Google’s Prediction API to make future vehicles smart enough to independently change how they perform to deliver optimal driveability and fuel efficiency. The Google API can convert information such as historical driving data – where a driver has traveled and at what time of day for example – into useful real-time predictions, such as where a driver is headed at the time of departure.
Ford researchers are presenting a conceptual case of how the Google Prediction API could alter the performance of a plug-in hybrid electric vehicle at the 2011 Google I/O developer conference.
In this video, Ford technical expert Ryan McGee and Ford system architect Johannes Kristinsson discuss the project.