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Risk recognition method for operating vehicle road traffic accidents

A technology of road traffic and identification methods, applied in collision avoidance systems and other directions, can solve the problems of weakening the ability to prevent and control road traffic accidents, unable to effectively analyze the causality and latent nature of road traffic accidents for commercial vehicles, etc., to achieve great significance and ensure correctness. Effect

Inactive Publication Date: 2015-11-18
SHANDONG JIAOTONG UNIV
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Problems solved by technology

However, for a long time, due to the complexity and uncertainty of accidents and the lack of cognitive means in the past, the research on the chain reaction mechanism of road traffic accidents of operating vehicles in my country is still in its infancy, and the cause and effect of road traffic accidents of operating vehicles cannot be effectively analyzed. Sexuality and latentness have greatly weakened my country's ability to prevent and control road traffic accidents

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  • Risk recognition method for operating vehicle road traffic accidents
  • Risk recognition method for operating vehicle road traffic accidents
  • Risk recognition method for operating vehicle road traffic accidents

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Embodiment Construction

[0034] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] The main business processes and modules of the analysis method of the present invention are as follows: figure 1 shown. To complete the identification of key accident chains of operating vehicles, it involves the following three sub-steps: data processing, verification analysis of stochastic Petri model, and algorithm application.

[0036] (1) Data processing, this step is mainly to complete the extraction of the difference sequence of the accident chain reaction. Since each sample has a detailed accident investigation report, which contains personnel, vehicles, road environment and management factors, many factors directly related to the accident, and extracting these factors is the first step in the data processing step. Then conduct directed graph modeling for the coupling relationship and timing relatio...

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Abstract

The invention discloses a risk recognition method for operating vehicle road traffic accidents. The method includes: establishing a database of the operating vehicle traffic accidents, extracting risk sequences of an accident chain reaction, and constructing a random Petri network model of the accident chain reaction; conducting a system performance analysis by employing an isomorphic Markov chain; regarding road transportation enterprise traffic accident statistics data and operation management data as initial data, calculating the generation probability of risk accidents by employing fuzzy Delphi and Bayesian inference methods, and guaranteeing the correctness of the calculating result from two aspects of logic and calculation; and recognizing an accident chain in need of key monitoring via the comparison of the path risk degree. According to the method, the accident coupling conversion characteristics can be revealed, the key risk paths for the operating vehicle road traffic accidents are recognized, corresponding risk sequences and risk degrees are provided, and high practical guidance values are provided for risk recognition and early warning of the operating vehicle road traffic accidents.

Description

technical field [0001] The invention relates to the technical field of road traffic safety prevention, in particular to a method for identifying risks of road traffic accidents of operating vehicles. Background technique [0002] Although my country's per capita car ownership is only 0.09, with the continuous increase of road mileage and continuous improvement of the operating environment, the number of civilian cars has increased by 12.5 times in the past 20 years. The contradiction between the sharply increasing demand for road travel and the inexperienced traffic safety guarantee system has made China's road traffic safety situation very severe, bringing about negative effects such as an increase in the number and severity of traffic accidents. In 2013, the number of casualties in road traffic accidents in my country was more than 270,000, second only to India. Measured by the death rate per 10,000 vehicles, the death rate per 10,000 vehicles in my country was 3.7 in 201...

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Application Information

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IPC IPC(8): G08G1/16
Inventor 李方媛姜坤
Owner SHANDONG JIAOTONG UNIV
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