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Traffic jam prediction method, device and equipment and storage medium

A technology of traffic congestion and prediction method, which is applied in the direction of traffic flow detection, prediction, traffic control system, etc., and can solve the problems that traffic congestion prediction cannot be realized

Pending Publication Date: 2021-06-25
PINGAN INT SMART CITY TECH CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the technical problem that traffic congestion prediction cannot be realized in the existing urban intelligent transportation system

Method used

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  • Traffic jam prediction method, device and equipment and storage medium
  • Traffic jam prediction method, device and equipment and storage medium
  • Traffic jam prediction method, device and equipment and storage medium

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Embodiment Construction

[0072] In the technical solution provided by the present invention, the traffic congestion prediction method obtains the corresponding traffic flow data at each traffic checkpoint according to the received traffic congestion prediction request, and obtains the traffic flow data set; The parameters are analyzed to obtain the node parameters. Based on the node parameters and the traffic flow data set, the relationship between each traffic checkpoint is calculated to obtain the edge parameters. Then, according to the pre-built road network knowledge graph and the calculated node parameters and edge parameters Generate a traffic map within a preset time period, use the traffic prediction model generated in advance based on the graph convolutional network model to process the traffic map within the preset time period, and obtain the predicted value of the congestion degree of the traffic checkpoint, so as to analyze the traffic congestion situation Make predictions. The traffic flo...

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Abstract

The invention relates to the field of artificial intelligence, discloses a traffic jam prediction method, device and equipment and a storage medium. The method is used for solving the technical problem that a traffic jam condition cannot be predicted in an existing urban intelligent traffic system. The method comprises the following steps: according to a traffic jam prediction request, obtaining traffic flow data at each traffic gate to obtain a traffic flow data set; analyzing the parameters of the traffic checkpoints in the traffic flow data set by using a big data analysis technology to obtain node parameters; calculating the relationship among the traffic checkpoints to obtain edge parameters; and generating a traffic map in a preset time period based on the node parameters and the edge parameters through a pre-constructed road network knowledge graph, and inputting the traffic map into a traffic prediction model pre-established based on a graph convolutional neural network for road condition prediction processing to obtain a predicted value of the congestion degree of each traffic gate corresponding to the traffic congestion prediction request. In addition, the invention also relates to a block chain technology, and the related information of the traffic flow data can be stored in a block chain.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a traffic jam prediction method, device, equipment and storage medium. Background technique [0002] With the continuous development of economic science and the continuous improvement of people's living standards, it has become common for individuals to own cars. This phenomenon has led to increasing pressure on urban road traffic, and congestion has become a very common and troublesome problem in people's travel. One thing, how to plan the route in advance for users to travel in the existing traffic lines has become the current development trend to solve the problem of traffic congestion. [0003] In the prior art, in order to solve the above-mentioned problems, the traffic management departments of various cities in our country have set up traffic checkpoints at key intersections, and use the monitoring devices installed at the traffic checkpoints to monitor the p...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06N3/04G06N3/08G06Q10/04
CPCG08G1/0125G08G1/0137G06Q10/04G06N3/08G06N3/045
Inventor 党升
Owner PINGAN INT SMART CITY TECH CO LTD
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