UrbanVision is an open source software system for visualizing alternative land use and transportation scenarios at scales ranging from large metropolitan areas to individual neighborhoods. The motivation behind this system to fill the gap between the outputs of existing land use and transportation models and the automatic generation of 3D urban models and visualizations.
The project is a collaborative effort between University of California Berkeley and Purdue University, led by Prof. Paul Waddell (Berkeley) and by Profs. Daniel Aliaga and Bedrich Benes (both at Purdue). The project significantly extends the UrbanSim system developed by Prof. Waddell and his collaborators and the research work of the Purdue CGVLAB and HPCG Lab. The UrbanVision-specific workforce includes over a dozen graduate student researchers and several undergraduate students as well. The project is primarily funded by the Metropolitan Transportation Commission of the San Francisco Bay Area, but is also supported by research grant efforts sponsored by the National Science Foundation and Google Inc.
The initial system is deployed to the San Francisco Bay Area CA, spanning over 7 million people and 1.5 million parcels of land. However, we anticipate deployment to other national and international cities in the future.