One of the fastest growing data source for traffic monitoring systems is GPS collected from mobile devices. There is a large demand in industry and transportation agencies to have access to high resolution state of traffic on highways and arterial roads globally. Real time systems that use GPS data include geospatial pre-processing components such as map matching and path inference. The rapidly growing volume of GPS data cannot be handled using traditional methods but instead of parallel computing approaches. Also, the new high resolution algorithms are developed to leverage the parallel processing frameworks. In this talk, Dr. Tossavainen will discuss directions taken to respond to the demand of providing high resolution information about the state of the traffic both in the context of modeling and implementation of a large scale system.