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    Abstract
2013 (Vol. 6, Issue: 11)
Article Information:

Data-Fusion Approach Based on Evidence Theory Combining with Fuzzy Rough Sets for Urban Traffic Flow

Ning Chen
Corresponding Author:  Ning Chen 

Key words:  Combination rule, data confliction, data fusion, intelligent transportation system, urban traffic flow, ,
Vol. 6 , (11): 1993-1997
Submitted Accepted Published
November 24, 2012 January 17, 2013 July 25, 2013
Abstract:

The traffic detecting result is always short of accuracy by different kinds of individual sensors in urban China. A new data fusion approach is raised in this paper to solve the issue, based on fuzzy rough set theory combining with evidence theory. The method is improved to concise attribute rules and to measure fuzzy likelihood. Furthermore, a new combination rule is given to dissolve the confliction among the traffic evidence data collected by different individual sensors. Finally, the experiment to fuse the traffic data from an intersection in Hangzhou City showed that the proposed approach could obtain a high accuracy.
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  Cite this Reference:
Ning Chen, 2013. Data-Fusion Approach Based on Evidence Theory Combining with Fuzzy Rough Sets for Urban Traffic Flow.  Research Journal of Applied Sciences, Engineering and Technology, 6(11): 1993-1997.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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