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Traffic accident responsibility judgment model based on block chain and IVggNet

A technology of traffic accidents and blockchain, applied in character and pattern recognition, biological neural network models, structured data retrieval, etc., can solve problems such as not supporting online model upgrades, model generalization constraints, etc.

Pending Publication Date: 2021-05-04
JINLING INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

National invention patent "A Vehicle Illegal Behavior Detection System Based on Blockchain and Deep Learning" (202010308506.4), this method combines blockchain and deep learning to detect vehicle illegal behavior, but there is no Support online upgrade of the model, so that the generalization of the model is subject to certain constraints

Method used

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  • Traffic accident responsibility judgment model based on block chain and IVggNet
  • Traffic accident responsibility judgment model based on block chain and IVggNet
  • Traffic accident responsibility judgment model based on block chain and IVggNet

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Embodiment Construction

[0040] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0041] The present invention proposes a traffic accident judgment model based on blockchain and IVggNe, aiming at realizing intelligent judgment of traffic accidents.

[0042] figure 1It is a model architecture diagram of the present invention. The steps of the present invention will be described in detail below in conjunction with the architecture diagram.

[0043] Step 1. Upload the data of the traffic accident to the blockchain node, where the data includes: vehicle GPS data, pictures and video data taken by electronic monitoring equipment, Internet of Vehicles data, etc.;

[0044] Further, the traffic accident data in step 1 specifically include:

[0045] Vehicle GPS data includes: car speed change data and braking acceleration change data when an accident occurs; electronic monitoring data includes: road map captured by camera, video of ...

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PUM

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Abstract

The invention discloses a traffic accident responsibility judgment model based on a block chain and IVggNet. The method comprises the following steps: step 1, uploading data of a traffic accident to a block chain node; step 2, carrying out classification integration and corresponding storage on the uploaded accident data by utilizing a block chain technology; step 3, taking data from the block chain by using the proposed IVggNet model; step 4, comparing a judgment result in the step 3 with a responsibility judgment result of a traffic police department; step 5, uploading data of the accident and a responsibility judgment result of a traffic police department to a block chain model error correction training set, when sample data in the error correction training set reaches a set threshold value, updating the IVggNet model, and finally uploading the updated IVggNet model to a block chain to realize sharing of the data and the model; and step 6, processing the traffic accident according to the responsibility judgment result. According to the invention, under the technical support of the block chain and the like, the intelligent responsibility judgment of the traffic accident is realized through the provided IVggNet network model.

Description

technical field [0001] The present invention relates to the fields of blockchain and road traffic, in particular to a traffic accident judgment model based on blockchain and IVggNet. Background technique [0002] With the development of my country's urbanization, the development of the national economy and the level of science and technology, the number of cars owned by Chinese residents is increasing year by year. Under the condition of more and more cars, traffic accidents will inevitably occur. From the perspective of vehicle types, automobiles have the highest number of traffic accidents and deaths. In 2018, there were 166,906 automobile accidents in my country, resulting in 46,161 deaths, 169,046 injuries, and direct property losses of 1,186.716 million yuan. In recent years, the highway network has basically been formed. As an important part of highway traffic, the traffic monitoring system has been continuously optimized and improved, basically covering the main road ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08G06Q50/18G06Q50/30G06F16/2458G06F16/27
CPCG06F16/2465G06F16/27G06N3/084G06Q50/18G06V20/54G06V10/44G06V10/462G06N3/045G06F18/241G06Q50/40
Inventor 周洪成李刚
Owner JINLING INST OF TECH
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