The research on traffic parameters extraction based on the mobile terminal positioning technology

As the demand of ITS for real-time traffic flow parameters increasing, the mobile terminal positioning technology which uses mobile base stations to obtain information such as position and velocity mobile phones on the road, is getting more and more important. In this paper, the number of vehicles and number of mobile terminals fitting is compared with the mobile terminal relative distance regression. as two traffic flow parameters extraction methods. The result shows that the first method suits large range extraction while the second one on the contrary. Furthermore, a optimization method for mobile terminal relative distance regression is presented. It is proved that MAPE has been improved 2% after optimization. The conclusions of the study can be used in more accurate traffic-flow parameter extraction in the case of different path length.