title: Transforming GIS data into functional road models for large-scale traffic simulation.
abstract: There exists a vast amount of geographic information system (GIS) data that model road networks around the world as polylines with attributes. In this form, the data are insufficient for applications such as simulation and 3D visualization-tools which will grow in power and demand as sensor data become more pervasive and as governments try to optimize their existing physical infrastructure. In this paper, we propose an efficient method for enhancing a road map from a GIS database to create a geometrically and topologically consistent 3D model to be used in real-time traffic simulation, interactive visualization of virtual worlds, and autonomous vehicle navigation. The resulting representation provides important road features for traffic simulations, including ramps, highways, overpasses, legal merge zones, and intersections with arbitrary states, and it is independent of the simulation methodologies. We test the 3D models of road networks generated by our algorithm on real-time traffic simulation using both macroscopic and microscopic techniques.
authors.affiliation: Department of Computer Science, University of North Carolina at Chapel Hill, NC 27599-3175, USA. wilkie@cs.unc.edu
authors.forename: David
authors.initials: D
authors.lastname: Wilkie
authors.forename: Jason
authors.initials: J
authors.lastname: Sewall
authors.forename: Ming C
authors.initials: MC
authors.lastname: Lin