Multi-Source Traffic Data Fusion Method Based on Regulation and Reliability

被引：2

作者：

Wu, Xinhong ^{[1
]}

Jin, Hai ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Cluster & Grid Comp Lab, Serv Comp Technol & Syst Lab, Wuhan 430074, Peoples R China

来源：

2009 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS, PROCEEDINGS | 2009年

关键词：

traffic; regulation; reliability; data fusion; data conflict;

D O I：

10.1109/ISPA.2009.15

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper provides a new data fusion mechanism based on regulation and reliability to solve the data conflict problems of multi-source heterogeneous data fusion in traffic information engineering. This mechanism evaluates each data source on historical reliability and data source QoS (Quality of Service), and then gives its reliability result. Users' reliability on the data source is calculated and dynamically adjusted, then new reliability data of the data source is given, finally the conflict data is fused. The validation of experiment result indicates that the method enhances accuracy and adoption ratio of the collected data in real time greatly.

引用

页码：715 / 718

页数：4