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Traffic state prediction method, system and device based on situation information

A technology of traffic conditions and situational information, applied in the field of intelligent transportation, can solve problems such as not being practical enough, achieve the effects of reducing time waste, facilitating route planning, and improving accuracy

Inactive Publication Date: 2018-12-11
SOUTH CHINA NORMAL UNIVERSITY +1
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AI Technical Summary

Problems solved by technology

However, this service that can only display real-time traffic conditions is obviously not practical enough. People urgently need a method that can successfully predict the future traffic conditions of the road, such as predicting whether there will be congestion on this road section in the next ten minutes, so that people can make the most reasonable decisions. Route planning, reducing time wasting caused by road congestion

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  • Traffic state prediction method, system and device based on situation information
  • Traffic state prediction method, system and device based on situation information
  • Traffic state prediction method, system and device based on situation information

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Embodiment Construction

[0054] The present invention will be further explained and described below in conjunction with the accompanying drawings and specific embodiments of the description. For the step numbers in the embodiment of the present invention, it is only set for the convenience of explanation and description, and there is no limitation on the order of the steps. The execution order of each step in the embodiment can be carried out according to the understanding of those skilled in the art Adaptive adjustment.

[0055] refer to figure 1 , the present invention a kind of traffic situation prediction method based on situational information, comprises the following steps:

[0056] Obtain vehicle GPS raw data, and then preprocess vehicle GPS raw data to obtain road trajectory data;

[0057] Using clustering algorithm to classify the obtained trajectory data;

[0058] Generate adjacent roads of the road to be tested according to the classification results of the trajectory data;

[0059] Acc...

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Abstract

The invention discloses a traffic state prediction method, system and device based on situation information. The method comprises the following steps of acquiring vehicle GPS original data, preprocessing the vehicle GPS original data and acquiring the track data of a road; using a clustering algorithm to classify the acquired track data; according to the classification result of the track data, generating the adjacent road of the road to be detected; according to the generated adjacent road, through the situation information used for generating the road to be detected, constructing a characteristic vector; and according to the constructed characteristic vector, using a deep learning technology to predict the traffic state of the road to be detected. The system comprises an acquisition module, a classification module, a generation module, a construction module and a prediction module. The device comprises a processor and a memory. A suitable range is wide and the accuracy of traffic state prediction is high, and the method, the system and the device are widely applied to the intelligent traffic field.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method, system and device for predicting traffic conditions based on context information. Background technique [0002] With the development of technology, big data is applied in many ways. For example, with the widespread adoption of the Global Positioning System (GPS), a large amount of trajectory data is generated, which can be used not only to describe the movement history of moving objects, but also to predict road traffic conditions, especially when real-time data is too expensive to calculate. , or when real-time data is missing. [0003] Usually, map service providers mark different road conditions with different colors, for example, red indicates real-time traffic congestion, green indicates real-time traffic conditions are smooth, and orange indicates real-time driving is slow. However, this service that can only display real-time traffic conditions is obvi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01H04W4/02G06Q10/04
CPCG06Q10/04G08G1/0108G08G1/0133H04W4/025
Inventor 黄昌勤朱佳赵美华王昱
Owner SOUTH CHINA NORMAL UNIVERSITY
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