基于规则和可靠性的多源流量数据融合方法

2009 IEEE International Symposium on Parallel and Distributed Processing with Applications Pub Date : 2009-08-18 DOI:10.1109/ISPA.2009.15

Xinhong Wu, Hai Jin

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引用次数: 2

摘要

为解决交通信息工程中多源异构数据融合的数据冲突问题，提出了一种基于规则和可靠性的数据融合新机制。该机制对每个数据源的历史可靠性和数据源服务质量(QoS)进行评估，然后给出其可靠性结果。计算并动态调整用户对数据源的可靠性，给出新的数据源可靠性数据，最后对冲突数据进行融合。实验结果验证表明，该方法大大提高了实时采集数据的准确性和采用率。

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

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.

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来源期刊

2009 IEEE International Symposium on Parallel and Distributed Processing with Applications

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