Road traffic accident data mining server, method and system

Abstract

The invention discloses a road traffic accident data mining server, a method and a system. The analysis module is used for carrying out cross-correlation analysis on the pre-processed road traffic accident data according to the designated statistical index, and obtaining the analysis result of multi-level and multi-dimension; The mining module is used for mining accident influence factors, accident casualty characteristic factors and accident risk degree corresponding to each stage of the road traffic accident according to the pretreated road traffic accident data, and obtaining the mining results; A visualization module for outputting the analysis result and the mining result to a geographic information system for display on the geographic information system. Accident visualization and accurate positioning are realized, and the causes and mechanism of accidents hidden in accident data are mined, which provides reference for road traffic accident prevention and traffic safety management.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a road traffic accident data mining server, method and system. Background technique [0002] At present, my country is in a period of rapid growth of motor vehicles, drivers and road mileage, and road traffic accidents and even serious traffic accidents occur from time to time. Taking the statistics of road traffic accidents in my country in 2015 as an example, the number of road traffic accidents in my country in 2015 was about 187,000, and the death toll was about 58,000. ), Japan (the death rate per 10,000 vehicles is 0.53), Germany (the death rate per 10,000 vehicles is 0.62), and the road traffic safety situation in my country is still very severe. Carrying out statistical analysis of road traffic accidents is one of the effective means to prevent road traffic accidents. [0003] As information technology enters the era of big data, road traffic accident data gradually pr...

AI Technical Summary

Problems solved by technology

[0003]As information technology enters the era of big data, road traffic accident data gradually presents big data characteristics such as huge data volume, fast update speed, and rich value. The "four indexes" are the statistical content, and the analysis method with descriptive statistics as the main method has been difficult to meet the statistical analysis needs of road traffic accidents in the era of big data, which is manifested in: (1) missing data items

In the actual process of obtaining road traffic accident data, due to various reasons, the information of data collection items is incomplete and inaccurate, resulting in low reliability of subsequent statistical analysis results

(2) Single method

The current acc

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