The use of game engines and virtual models to build a simulator for Intelligent Transportation Systems

The use of simulators on Intelligent Transportation Systems allows to recreate transit situations from real data; evaluation of algorithms without put at risk the people and assets; and analyze driver behavior on controlled experimental situations. This work shows the development of a simulator from a virtualized environment, using strategies of image processing, and a game engine which offer support and functionalities needed to the simulation. Results with experimental data in normal traffic situations that shows the operation on real time, are also presented.