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.