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High-way accident primary and secondary reasons analysis method and accident type judgment method based on C4.5

A technology of highway and analysis method, applied in the field of highway traffic safety management research, can solve the problems of high data and method requirements, no large-scale promotion, etc., and achieve the effect of accurate judgment

Inactive Publication Date: 2018-12-18
SOUTHEAST UNIV
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Problems solved by technology

The use of data mining algorithms to analyze accidents requires high data and methods, and has not yet been widely promoted.

Method used

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  • High-way accident primary and secondary reasons analysis method and accident type judgment method based on C4.5
  • High-way accident primary and secondary reasons analysis method and accident type judgment method based on C4.5
  • High-way accident primary and secondary reasons analysis method and accident type judgment method based on C4.5

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the specific implementation cases of the present invention will be described below in conjunction with the accompanying drawings.

[0028] This embodiment takes Liwen Expressway as an example to elaborate the C4.5-based expressway accident primary and secondary cause analysis method disclosed by the present invention. The process is as follows figure 1 shown.

[0029] Step 1. Liwen Expressway is located in Zhejiang Province, connecting Lishui and Wenzhou. Liwen Expressway has a mileage of 116km, and the mileage of bridges and tunnels accounts for more than 90%. It is called the "Bridge and Tunnel Club" by traffic experts in the industry. The research road section selected in this example is from K117 to K134, with a total length of 17km, such as figure 2 shown. The research section passes through Tonglinggang No. 2 Tunnel, Yuzhuang Tunnel, Shifan Bridge, Daliangshan Tunn...

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Abstract

The invention discloses a high-way accident primary and secondary reasons analysis method and accident type judgment method based on C4.5. The method comprises the following steps: 1, collecting traffic accident records of N high-ways, wherein each record comprises a road condition, a driver condition, a vehicle condition and like attribute information when the accident occurs, and an accident type; 2, symbolizing the attribute information; and constructing a sample seat through the attribute variables and the accident type; 3, combining the attribute variables of N accidents into an attributeset {Vi}, regarding the attribute set {Vi} as the input and an accident type set {Ci} as the output, constructing a decision tree by applying a C4.5 algorithm, wherein a terminal node of the decisiontree is the accident type and an intermediate node is the attribute; and 4, obtaining the accident primary and secondary factor order according to the established decision tree. The method disclosedby the invention comprehensively considers the human-vehicle-road and environment index related to the accident, the road traffic accident primary and secondary reasons can be precisely analyzed, thereby judging the most possible accident type under a certain condition. The method has guidance significance for adopting a protection measure by the road traffic management department.

Description

technical field [0001] The invention belongs to the research field of highway traffic safety management, and in particular relates to a method for judging the primary and secondary causes of traffic accidents based on data mining and a method for judging the types of accidents. Background technique [0002] Expressway is a convenient way for medium and long-distance travel, and it is also the travel mode with the most unsafe factors. In our country, the personal casualties and property losses caused by traffic accidents are very serious every year. The problem of traffic accidents has always been a key issue in scientific research in the field of transportation. [0003] Foreign scholars carried out the analysis of traffic accidents based on data mining earlier, and the research methods showed a trend of diversification. For example, the gray model and regression model can be used to predict traffic accidents, the decision tree model can be applied to explore the primary an...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0104G08G1/0137
Inventor 何杰李佳佳刘子洋章晨邢璐赵池航
Owner SOUTHEAST UNIV
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