Method for identifying reasons of major traffic accidents based on association rules

A traffic accident and identification method technology, applied in the field of traffic accident safety research, can solve the problems of too much subjectivity, the inability to directly use the cause analysis of serious traffic accidents, and the lack of quantitative analysis, etc., to achieve simple operation and enhance engineering application value Effect

Active Publication Date: 2017-02-08
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

[0006] Technical problem: The present invention provides a heavy and extraordinarily serious traffic accident based on association rules analysis based on association rules that reduces the impact of randomness and subjective judgment of decision makers, and can effectively identify the cause of major and extraordinarily serious traffic accidents and analyze the mechanism of ma

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  • Method for identifying reasons of major traffic accidents based on association rules
  • Method for identifying reasons of major traffic accidents based on association rules
  • Method for identifying reasons of major traffic accidents based on association rules

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with embodiment and accompanying drawing.

[0031] In this embodiment, data collection is performed on major traffic accidents in my country from 2009 to 2013, and the following operations are performed.

[0032] 1) Construct a database of major traffic accidents. According to the variable classification and coding methods shown in Attached Table 1, the major traffic accident reports from 2009 to 2013 are coded into the corresponding accident variables:

[0033] Table 1 Data list of major traffic accidents in my country from 2009 to 2013 (partial)

[0034]

[0035] 2) Input the above major traffic accident data list into the R language statistical analysis software, select the algorithm for association rule analysis as the Apriori algorithm, and set the thresholds for association rule support, confidence, and promotion. In practice, the thresholds of these three indicators are determined based on ...

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Abstract

The invention discloses a method for identifying reasons of major traffic accidents based on association rules. According to the method, the data of the major traffic accidents are extracted from an annular report for road traffic accidents over the years in China and the extracted accident data are divided into five accident variables, including pedestrians, vehicles, roads, environments and other factors. On the basis, the method comprises the following steps: performing association rule analysis; setting the reasonable threshold values of support degree, confidence coefficient and upgrading degree in the association rule analysis for the major traffic accidents; calculating the association rules of two-item set, three-item set and four-item set of the major traffic accidents on the basis of Apriori algorithm; analyzing by combining with the support degree, confidence coefficient and upgrading degree of the output rules; identifying the common reasons and accident occurrence mechanisms of the major traffic accidents. According to the method provided by the invention, the randomness and the subjective judgment influence of the decision maker can be reduced, the reasons of the major traffic accidents can be effectively identified and the accident occurrence mechanisms of the major traffic accidents can be analyzed.

Description

technical field [0001] The invention belongs to the field of traffic accident safety research, and relates to a method for identifying the cause of major traffic accidents based on association rules. Background technique [0002] In recent years, with the continuous improvement of residents' travel safety awareness and the extensive use of various information-based intelligent control and induction technologies in the field of traffic safety, my country's road traffic safety situation is generally stable, and the casualty rate of 10,000 people in traffic accidents is decreasing year by year. However, the problem of serious and extraordinarily serious road traffic accidents involving mass deaths and injuries has become increasingly prominent, which has brought huge negative impacts on society and people's lives. [0003] A major traffic accident is a traffic accident in which more than 10 people are killed. Compared with traditional road traffic accidents, the investigation o...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N5/02G06N5/04G06Q50/26
CPCG06F16/2462G06F16/2465G06F2216/03G06N5/025G06N5/042G06Q50/265
Inventor 徐铖铖包杰刘攀吴家明
Owner SOUTHEAST UNIV
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