Traffic status estimate based on data fusion

Traffic information estimation is one of the most functions of Intelligent Transportation System (ITS). At present, it is estimated based on single data source, especially GPS data. The average speed of floating cars is generally utilized to evaluate the route status. However, the speed can not always represent the real traffic status, and usually leads to misjudge. Thus, Multi-source should be evaluated to acquire more accurate estimate. In the paper, Rough Sets Theory is utilized to fuse different data to more accurately estimate the traffic status, including current GPS data from uplink and downlink lanes and historical data. An example is also presented.