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

被引：0

作者：

Yin, Han ^{[1
]}

Bowen, Yixie ^{[1
]}

Niu Zhaoyu ^{[1
]}

机构：

[1] Univ Shanghai Sci & Technol, Sch Business, Shanghai, Peoples R China

来源：

2012 WORLD AUTOMATION CONGRESS (WAC) | 2012年

关键词：

clustering algorithm; traffic parametersabstraction; simulation technology; mobile terminal positioning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：4