An information amalgamation method of evidence theory urban traffic flow based on fuzzy rough sets

An evidence theory urban traffic stream information fusion method based on a fuzzy rough set comprises the following steps of: (1) pre-processing traffic data by using attribute reduction and nuclear theory of the rough set to eliminate redundant traffic stream parameters and data; (2) employing the pre-processed traffic stream parameters as an independent evidence, and solving the elementary probability function of each group proof by using a fuzzy membership method; and (3) fusing the elementary probability functions based on an improved D-S proof theory synthetic equation, performing conflict resolution of the evidence generating conflict, judging the reliability of a correlated detector, and selecting the correlated detection parameter as a fusion result based on the reliability extent. The invention provides the evidence theory urban traffic stream information fusion method based on the fuzzy rough set, which has high utilization rate, high information reliability, and high accuracy of fusion result when processing multi-source traffic stream data.