Disclosed is a traffic accident data intelligent analysis and comprehensive application system

Abstract

The invention provides a traffic accident data intelligent analysis and comprehensive application system. The system comprises a data docking module, a mining processing module, an interaction module,a map module and a data analysis module, the mining processing module drives data processing through a traffic accident data factor importance analysis model according to traffic accident data extracted by the data docking module, and the importance degree of attribute factor set elements is obtained; the data analysis module receives an attribute factor selection result of the interaction module, takes an attribute factor as a data analysis angle, and provides a targeted data analysis result through an accident data analysis mode; according to the system, importance analysis of attribute factors is carried out based on original traffic accident data, a missing data estimation strategy is configured, and the situation that the attribute factors provided by different data sources of a traffic accident are inconsistent can be effectively coped with; therefore, attribute factors with important traffic accident information are extracted from the sample data selected by the user, and quantitative importance indexes are output.

Description

Technical field [0001] The invention relates to an intelligent analysis and comprehensive application system of traffic accident data. Background technique [0002] The traditional traffic accident data application method is relatively simple, most of which are regular data report reports. The statistical dimensions of the report are also relatively fixed, mainly based on the management experience to determine the statistical dimensions. [0003] But in fact, traffic accident record data contains accident-related people, vehicles, roads, environment and many other attribute data. In addition to the commonly used statistical dimensions, it can also extract more valuable information from a large amount of data. One of them is Analyze the correlation between attribute characteristics and accidents, and mine the amount of accident-related information carried in attribute characteristics. Judging from the current research results and application status, the analysis of accident attribu...

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned current problems, the purpose of the present invention is to provide a traffic accident data intelligent analysis and comprehensive application system to solve the current lack of methods that can realize quantitative attribute factor importance analysis in the prior art. The means of application are also relatively simple, and most of them ignore the problem of mining deep features of data and related conclusions

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