Traffic flow prediction method and device by employing spatial and temporal distribution features

A prediction method and a technology of time and space distribution, applied in traffic flow detection, road vehicle traffic control system, forecasting, etc., can solve the problems that urban traffic problems have not been solved well, so as to meet the needs of traffic information services and avoid large deviations , the effect of increasing the degree of credibility

Inactive Publication Date: 2018-11-16
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

[0002] Faced with the increasingly severe traffic pressure, countries around the world have adopted various countermeasures, but the urban traffic problem has not been well resolved
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  • Traffic flow prediction method and device by employing spatial and temporal distribution features
  • Traffic flow prediction method and device by employing spatial and temporal distribution features
  • Traffic flow prediction method and device by employing spatial and temporal distribution features

Examples

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Example Embodiment

[0047] Example 1

[0048] According to an embodiment of the present invention, seefigure 1 , provides a traffic flow prediction method using the spatio-temporal distribution characteristics, including:

[0049] Step A: Converting the GPS track of the vehicle over a period of time into multi-frame image data at preset time intervals;

[0050] Step B: Input multiple frames of picture data into the convolutional neural network and combine it with the residual network to obtain a complete traffic flow distribution over a period of time;

[0051] Step C: Carry out normal distribution model prediction on the traffic flow distribution, and output the normal distribution model prediction result.

[0052] The traffic flow prediction method using the time-space distribution characteristics in the embodiment of the present invention makes full use of the space-time traffic information, avoids a large deviation in the prediction results, increases the credibility of the prediction result...

Example Embodiment

[0091] Example 2

[0092] According to another embodiment of the present invention, see Image 6 , providing a traffic flow forecasting device utilizing the spatio-temporal distribution characteristics, including:

[0093] A data conversion unit 201, configured to convert the GPS track of the vehicle within a period of time into multi-frame picture data at preset time intervals;

[0094] The input calculation unit 202 is used to input multiple frames of picture data into the convolutional neural network and obtain a complete traffic flow distribution within a period of time in combination with the residual network;

[0095] The model prediction unit 203 is configured to perform normal distribution model prediction on the traffic flow distribution, and output the normal distribution model prediction result.

[0096] The traffic flow prediction device utilizing the spatio-temporal distribution characteristics in the embodiment of the present invention makes full use of space-t...

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Abstract

The present invention relates to the field of traffic monitoring, especially to a traffic flow prediction method and device by employing spatial and temporal distribution features. The method and thedevice convert a GPS track of a vehicle within a period of time to multi-frame image data by taking preset time as an interval, input the multi-frame image data into a convolutional neural network, combine a residual network to obtain integrated traffic flow distribution within a period of time, perform prediction of a normal distribution model for the traffic flow distribution and output a normaldistribution model prediction result. The traffic flow prediction method and device combine the spatial and temporal distribution features to avoid large deviation at the aspect of the prediction result, increase the credibility of the prediction result, fully employ the spatial-and-temporal traffic information, predict the traffic condition of a city within a period of time in future through thecity historical traffic flow information and real-time area traffic flow information so as to better meet an intelligent traffic system and provide demands for traffic information service, traffic control and guidance.

Description

technical field [0001] The invention relates to the field of traffic monitoring, in particular to a method and device for predicting traffic flow using the characteristics of time-space distribution. Background technique [0002] Faced with the increasingly severe traffic pressure, countries around the world have adopted various countermeasures, but the urban traffic problem has not been well resolved. Although many cities in China have begun to implement intelligent services, most of the current traffic platforms initially set up only release and reproduce historical traffic information. For travelers and managers, it is necessary to grasp the changes in traffic conditions. Trend, change from passive to active. Therefore, it is of great significance to the intelligent traffic system to make reliable prediction and judgment of the traffic state information of the road network in advance by using scientific and effective methods. [0003] As an emerging discipline of machin...

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Application Information

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IPC IPC(8): G08G1/01G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G08G1/0125
Inventor 周翊民周阳吕琴
Owner SHENZHEN INST OF ADVANCED TECH
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