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. Userspsila 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.