Overview / Usage

The system is designed to take a wide variety of data primarily driven by ride sharing data collected from major cities. Using this data the temporal and spatial distributions will be captured and synthesized using a novel DCGAN structure. The data generation will be guided by a spectrum of conditional, meta-data inputs that will allow for generation of previously unseen scenarios modeled on a variety of given parameters.

The work is still in progress and I am unable to share further details on a public forum.