Method for analyzing cause of highway traffic accident
A technology for traffic accidents and highways, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc. It can solve the problems of large amount of calculation in cause analysis and inaccurate analysis results, and achieve the goal of improving efficiency and accuracy Effect
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specific Embodiment approach 1
[0023] Specific implementation mode one: combine figure 1 , figure 2 The present embodiment is described, a kind of expressway traffic accident cause analysis method that the present embodiment provides, specifically comprises the following steps:
[0024] Step 1. According to the recorded data of expressway traffic accidents, a fault tree model of expressway traffic accidents is established, such as figure 2 shown;
[0025] The highway traffic accident data collected from the public security traffic management department, the larger the data sample size, the more accurate the analysis results. According to the original accident record data, the cause of the accident is counted, and the data is classified and summarized according to the four aspects of driver, vehicle, road and environment.
[0026] Step 2, constructing a Bayesian network model of expressway traffic accidents based on the fault tree model;
[0027] Step 3, carrying out quantitative analysis to the expres...
specific Embodiment approach 2
[0031] Specific embodiment two: the difference between this embodiment and specific embodiment one is that the specific process of setting up the expressway traffic accident fault tree model described in step one includes:
[0032] Set the top event as traffic accident, the fault tree takes the least expected event in the system as the top event, set the second top event as driver factor, vehicle factor, road factor and environmental factor, and draw the second top event There are four independent sub-fault trees, and the relationship between the four independent sub-fault trees and the top event is an OR gate; then the events at all levels are decomposed step by step from top to bottom, and through several intermediate events, find the cause of the top event The most fundamental cause of the occurrence is the basic event at the bottom of the fault tree; the basic event is the specific cause of the accident; the logical relationship between events at each layer is described by ...
specific Embodiment approach 3
[0037] Specific embodiment three: the difference between this embodiment and specific embodiment two is that the specific process of constructing the expressway traffic accident Bayesian network model based on the fault tree model described in step 2 includes:
[0038] Step1. Determining nodes: The nodes in the Bayesian network are divided into the following three categories: ①Evidence nodes: variables with definite values are used as known conditions to infer Bayesian networks; ②Target nodes: Bayesian networks The goal of the final reasoning; ③ intermediate node: the node connecting the evidence node and the target node. The basic event, logic gate and top event in the fault tree correspond to the evidence node, intermediate node and target node in the Bayesian network respectively;
[0039] Step2. Establish a directed acyclic graph: the connection between events in the fault tree corresponds to the nodes connected by directed arrows in the Bayesian network, thereby forming...
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