Road warning method and related equipment based on federated learning

A road and federation technology, applied in the field of road early warning based on federated learning, can solve problems such as frequent road accidents, and achieve the effect of reducing road accidents, reducing traffic accidents, and improving transportation capacity

Active Publication Date: 2022-04-19
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult to accurately and quickly carry out early warning of vehicles and roads, and it is difficult to quickly predict dangers in advance, and road accidents still occur frequently

Method used

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  • Road warning method and related equipment based on federated learning
  • Road warning method and related equipment based on federated learning
  • Road warning method and related equipment based on federated learning

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Embodiment Construction

[0063] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0064] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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PUM

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Abstract

The embodiment of the present application belongs to the field of artificial intelligence technology and is applied in the field of smart urban management. It relates to a road warning method based on federated learning and related equipment. The reverse neural network model and the target recursive neural network model are trained, and the trained model parameters are transmitted to the central server, so that the data can be comprehensively trained with data from other servers without leaving the local area. The dispatching client judges the geographical distance between the vehicle early warning signal and the first road risk early warning signal. When the distance is less than the range threshold, it sends a road regulation notice to the designated person to help the traffic department allocate traffic resources reasonably, reduce the occurrence of road accidents, and improve transportation capacity. The target reverse neural network model and the target recurrent neural network model can be stored in the blockchain. This application breaks data barriers and reduces road accidents.

Description

technical field [0001] This application relates to the field of artificial intelligence technology, in particular to a road warning method based on federated learning and related equipment. Background technique [0002] There are many problems in the current urban road traffic that have not been properly resolved. It can be seen from the endless traffic accidents that the city needs to improve the identification and detection of traffic risks. At present, in terms of road risk detection, most products implement some basic state detection through sensors or cameras, but cannot carry out deeper risk warning judgments. [0003] At the same time, the data between the traffic control departments of various provinces, cities, districts and counties is not interoperable, and the information management systems they adopt are even more varied, and the data information held by the enterprises and individuals corresponding to individual vehicles is also completely incommunicable. From...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/0967G06N3/04
CPCG08G1/0104G08G1/0967G06N3/044
Inventor 李泽远王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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