Chapter
Apr 26, 2012
Traffic Data Fusion Method Based on Evidence Theory Combining with Fuzzy Rough Sets
Authors: Chen Ning [email protected], Bin Yuan, and Jian WuAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
The traffic detecting result is always short of accuracy by different kinds of individual sensors in urban China. To solve the issue, a new data fusion approach is raised. The algorithm combines fuzzy and rough set theory based on 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 urban Hangzhou City showed that the proposed approach could obtain a high accuracy.
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© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Data collection
- Detection methods
- Engineering fundamentals
- Equipment and machinery
- Fuzzy logic
- Information management
- Infrastructure
- Mathematics
- Methodology (by type)
- Probe instruments
- Research methods (by type)
- Traffic engineering
- Traffic management
- Transportation engineering
- Urban and regional development
- Urban areas
Authors
Affiliations
Institute of ITS, Zhejiang University of Science and Technology, Hangzhou City, Zhejiang Province. E-mail: [email protected]
Bin Yuan
Institute of ITS, Zhejiang University of Science and Technology, Hangzhou City, Zhejiang Province
Jian Wu
Institute of ITS, Zhejiang University of Science and Technology, Hangzhou City, Zhejiang Province
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