Dempster-shafer (D-S) evidence theory method capable of achieving micro-blog inclusion traffic information fusion

Abstract

The invention discloses a Dempster-shafer (D-S) evidence theory method capable of achieving micro-blog inclusion traffic information fusion. The D-S evidence theory method includes determining an evidence theory identification framework and proposition space according to traffic congestion degrees; capturing micro-blog contents relevant to traffic information themes according to time windows and road sections to form a micro-blog data collection which is required to be fused; pre-processing the micro-blog data collection; calculating word meaning similarity degrees of description vocabularies of micro-blog data collection traffic states, introducing Chinese language corpus resources and improving calculation accuracy of the word meaning similarity degrees; calculating weighting evaluation of the micro-blog word meaning similarity degrees and constructing a basic probability assignment function of an evidence theory; and subjecting a plurality of micro-blog evidence sources to evidence synthesis according to a Dempster combination rule, determining confidence intervals of propositions in the identification space, and selecting a proposition of the maximum confidence function in the confidence intervals to be a fusion result. By means of the D-S evidence theory method capable of achieving micro-blog inclusion traffic information fusion, the fusion of micro-blog inclusion traffic information can be achieved, and an important data source is provided for the city traffic information collection.

Description

technical field [0001] The invention relates to mobile location service, Internet space information search, and mobile Internet technology, in particular to a D-S evidence theory method for fusion of traffic information contained in microblogs. Background technique [0002] Real-time traffic information can alleviate traffic congestion, improve transportation efficiency, ensure traffic safety, and facilitate public travel. The existing methods of obtaining traffic information mainly include fixed sensor technology (induction coils, video surveillance, and microwave detection), and the installation of GPS and wireless communication equipment. However, these collection methods still have great limitations in obtaining temporary traffic control restriction information and responding to sudden traffic incidents. Microblogs contain a wealth of real-time traffic information with high timeliness, covering various types of traffic information, such as road traffic flow, road smoothn...

AI Technical Summary

Problems solved by technology

Therefore, text clustering cannot well solve the ambiguity of microblog message descriptions and the differences in message descriptions of different microblog users.

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