Traffic Accident Data Intelligent Analysis and Comprehensive Application System

Abstract

The invention provides an intelligent analysis and comprehensive application system for traffic accident data, which includes a data docking module, a mining processing module, an interaction module, a map module and a data analysis module. The data factor importance analysis model drives data processing to obtain the importance of attribute factor set elements; the data analysis module receives the attribute factor selection result of the interactive module, takes the attribute factor as the data analysis angle, and provides targeted data analysis through the accident data analysis method Results; The system analyzes the importance of attribute factors based on the original traffic accident data, and configures the missing data estimation strategy, which can effectively deal with the inconsistency of attribute factors provided by different data sources of traffic accidents; thus extracting from the sample data selected by users Attribute factors with important information of traffic accidents, and output quantitative importance index.

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 single, most of which are regular data report reports, and the statistical dimensions of the reports are also relatively fixed, mainly based on management experience to determine the statistical dimensions. [0003] But in fact, the traffic accident record data contains many attribute data related to the accident, such as people, vehicles, roads, and the environment. 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 features and accidents, and mine the amount of accident-related information carried in attribute features. Judging from the current research results and application status, the analysis of acci...

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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