Mobility has been one of the top priorities in the industrial regions and has profound
impacts on economic growth. With the advances in location positioning and wireless communication technologies, collecting spatial trajectories that represent the mobility of a variety of moving objects (e.g. people, vehicles) becomes prevalent in the digital society.
This project focuses on understanding the urban mobility patterns and taxi driving behaviors from large amount of floating car data collected from GPS equipped taxis. Novel visual and computational techniques from a variety of disciplines are and will be proposed and highly interactive system will be developed for in-depth investigation of the complex patterns and urban spatial, temporal and social interactions. We use three-month floating taxi data from Shanghai, China as our test data.