A road congestion prediction method, system and device based on bayonet data

A forecasting method and road technology, applied in the field of intelligent transportation, can solve problems such as inconvenience to car owners, aggravate the management problems of traffic-related departments, and low efficiency of traffic forecasting, and achieve the effect of improving forecasting efficiency

Active Publication Date: 2021-01-26
东莞数汇大数据有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the number of motor vehicles in the city is increasing continuously, the traffic pressure is increasing sharply, and traffic congestion often occurs in some areas, which brings great challenges to the smooth operation of urban traffic, exacerbates the management problems of traffic-related departments, and also creates problems for car owners. Inconvenience
In the existing technology, the traffic congestion prediction is generally based on the subjective experience of people, the traffic congestion analysis results are inaccurate, and the congestion prediction analysis can only be realized in a small area, the traffic prediction efficiency is low, and the travel time of car owners growth, high travel costs

Method used

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  • A road congestion prediction method, system and device based on bayonet data
  • A road congestion prediction method, system and device based on bayonet data

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Experimental program
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Effect test

Embodiment 1

[0048]Such asfigure 1 As shown, this embodiment provides a road congestion prediction method based on bayonet data, including the following steps

[0049]S1. Obtain the dynamic characteristics of the road in the previous time period through the bayonet data.

[0050]S2. Combining dynamic features and a preset road congestion prediction model to predict the congestion level of the road in the next time period.

[0051]Through the bayonet, the license plate number, license plate type and speed of the passing vehicle can be obtained. The dynamic characteristics of the road include characteristics such as traffic flow and speed. After obtaining the dynamic characteristics of the previous time period, input the dynamic characteristics into the road congestion The prediction model predicts the characteristics of traffic flow and speed in the next time period, and predicts the congestion situation. The previous time period and the next time are two consecutive time periods, and the time period is s...

Embodiment 2

[0081]Such asfigure 2As shown, this embodiment provides a road congestion prediction system based on bayonet data, including:

[0082]The feature acquisition module is used to acquire the dynamic features of the road in the previous time period through the bayonet data;

[0083]The congestion prediction module is used to predict the congestion level of the road in the next time period based on the dynamic characteristics and the preset road congestion prediction model.

[0084]Further as a preferred embodiment, it further includes a model establishment module, the model establishment module includes an information acquisition unit, a feature acquisition unit, a congestion marking unit, and a modeling unit;

[0085]The information acquisition unit is used to acquire the bayonet data of the road, and acquire vehicle information of multiple time periods according to the bayonet data;

[0086]The feature acquisition unit is configured to acquire the dynamic feature sequence of the road according to ve...

Embodiment 3

[0091]This embodiment provides a road congestion prediction device based on bayonet data, including:

[0092]At least one processor;

[0093]At least one memory for storing at least one program;

[0094]When the at least one program is executed by the at least one processor, the at least one processor implements the method for predicting road congestion based on bayonet data in the first embodiment.

[0095]The device for predicting road congestion based on bayonet data in this embodiment can execute the method for predicting road congestion based on bayonet data provided by the method embodiment of the present invention, and can execute any combination of implementation steps of the method embodiments, and has The corresponding functions and beneficial effects of this method.

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Abstract

The invention discloses a road congestion prediction method, system and device based on checkpoint data, wherein the method includes the following steps: obtaining the dynamic characteristics of the road in the previous time period through the checkpoint data; combining the dynamic characteristics with the preset road congestion prediction The model predicts the road congestion level for the next time period. The present invention obtains the dynamic characteristics of the road through the bayonet data, and combines the dynamic characteristics and the road congestion prediction model to predict the congestion situation of the road in the next time period, which can effectively and accurately predict the traffic congestion situation, and solves the problem of relying on artificial prediction to cause prediction. Inaccurate problem; and the present invention can predict the traffic congestion in a large area, improves the prediction efficiency, provides the management efficiency of the traffic management department and shortens the travel time of the car owner and reduces the travel cost, and can be widely used in intelligent transportation technology field.

Description

Technical field[0001]The present invention relates to the technical field of intelligent transportation, in particular to a road congestion prediction method, system and device based on bayonet data.Background technique[0002]At present, the number of motor vehicles in cities is increasing, traffic pressure is increasing sharply, and traffic congestion often occurs in some areas, which brings great challenges to the smooth operation of urban traffic, aggravates the management problems of traffic-related departments, and also presents car owners. Caused inconvenience. In the existing technology, the congestion prediction is usually based on the subjective experience of the person. The result of the traffic congestion analysis is not accurate, and it can only realize the congestion prediction analysis in a small area, and the traffic prediction efficiency is low, and the travel time of the car owner Growth, high travel costs.[0003]Glossary:[0004]Bayonet: Including the security inspecti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
Inventor 姚炜健
Owner 东莞数汇大数据有限公司
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