Traffic accident risk estimation method and system

A technology for traffic accident and risk assessment, applied in data processing applications, machine learning, instruments, etc., to solve problems that do not involve safety assessment during the operation period of expressway tunnels

Inactive Publication Date: 2017-06-27
JILIN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the safety evaluation methods of expressway tunnels in my country mainly focus on the construction period of the tunnel, and do not involve the safety evaluation of the later expressway tunnel operation period.

Method used

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  • Traffic accident risk estimation method and system
  • Traffic accident risk estimation method and system
  • Traffic accident risk estimation method and system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0138] This embodiment mainly illustrates and verifies the calculation example for the evaluation method proposed by the present invention.

[0139] Step 1: Select six factors that affect the risk of highway tunnel traffic accidents, and the relationship between various risk factors and the risk level of traffic accidents, as shown in Table 1 below.

[0140] Table 1 The relationship between risk factors and the risk level of traffic accidents

[0141]

[0142] In this embodiment, a total of 100 expressway tunnels across the country are selected to collect relevant data, and 100 sets of traffic accident risk factor data are obtained. Based on these data, the specific implementation of the algorithm is described.

[0143] Step 2. Classification of Expressway Tunnel Risk Levels

[0144] The risk level is divided into four levels: safe, relatively safe, relatively dangerous, and dangerous. Assign the values ​​1, 2, 3, and 4 respectively.

[0145] Step 3. Determination of th...

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Abstract

The invention discloses a traffic accident risk estimation method and system. According to the method and the system, a corresponding relation chain between a risk factor and a risk class is calculated and determined by acquiring an expressway tunnel traffic accident risk factor and an expressway tunnel traffic accident risk class and employing a spectral clustering algorithm; a risk estimation model is constructed according to the relation chain and an extreme learning algorithm; and the final risk class corresponding to the risk factor can be obtained by inputting arbitrary risk factor data to the risk estimation model. Therefore, with the adoption of the method or the system provided by the invention, the expressway tunnel traffic accident risk estimation efficiency is effectively improved, so that the expressway tunnel traffic accident risk estimation efficiency process is more high-efficiency and convenient, and the safety evaluation of expressway tunnel operation period is accurately and effectively achieved.

Description

technical field [0001] The invention relates to the field of expressway traffic engineering, in particular to a method and system for evaluating the risk of traffic accidents in expressway tunnels. Background technique [0002] In recent years, with the large-scale construction of expressway tunnels and the substantial increase in traffic volume, great pressure and challenges have been placed on the safe operation of expressway tunnels. Due to the characteristics of the expressway tunnel itself, the expressway tunnel not only becomes a road section with frequent traffic accidents, but also increases the difficulty of accident rescue. As my country pays more and more attention to the traffic safety of expressway tunnels, the traffic safety situation of expressway tunnels has improved somewhat, and the frequency of accidents and the number of casualties have declined. However, traffic accidents can still cause great loss of life and property, seriously affecting the safety of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/62G06N99/00
CPCG06N20/00G06Q10/0635G06F18/23213
Inventor 于德新林赐云张伟胡馨月龚勃文杨庆芳周户星郑黎黎王树兴马晓刚商强杨帆
Owner JILIN UNIV
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