Motor vehicle traffic flow prediction method suitable for data loss

A technology of missing data and prediction method, applied in traffic flow detection, traffic control system of road vehicles, traffic control system, etc., can solve the problem of lack of traffic flow data and cannot efficiently predict road traffic flow, etc., to ensure the efficiency of traffic flow prediction , Reduce the number of filling, the effect of high accuracy

Active Publication Date: 2020-09-29
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a motor vehicle traffic flow prediction method suitable for missing data, so as to solve the problem that road traffic flow cannot be efficiently predicted due to lack of traffic flow data in urban traffic

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  • Motor vehicle traffic flow prediction method suitable for data loss
  • Motor vehicle traffic flow prediction method suitable for data loss
  • Motor vehicle traffic flow prediction method suitable for data loss

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Refer to attached figure 1 , to further describe the specific steps for realizing the present invention.

[0032] Step 1, input the urban road network topology structure of the traffic flow to be predicted, and number each road segment in the road network.

[0033] Step 2, using the optimal cutting method of the spatio-temporal relationship to generate a data set of adjacent road sections.

[0034] Refer to attached figure 2 , to further describe the specific steps of using the optimal cutting method to generate the adjacent road segment data set of the road segment to be predicted.

[0035] Step 1, set a set for the road segment to be predicted, and initialize it to zero.

[0036] Step 2, judge that all the first-order adjacent road segments of the road segment to be predicted are k before the prediction time 1 Whether the traffic flow data at each sampling...

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Abstract

The invention discloses a motor vehicle traffic flow prediction method suitable for data missing. The method comprises: inputting an urban road network topological structure of the traffic flow to bepredicted; selecting a certain road section in the road network as a to-be-predicted road section; determining an adjacent road segment data set of the to-be-predicted road segment according to the space-time relationship between observable data and missing data through an optimal cutting method; filling the missing data in the adjacent road segment data set according to a nearest neighbor algorithm to obtain a filled data set, and obtaining the traffic flow data of the road segment to be predicted at the prediction moment according to the prediction model through the filled data set. The method can be used for efficiently predicting the motor vehicle traffic flow in a certain road section under the condition of traffic flow data loss in a complex urban road network.

Description

technical field [0001] The invention belongs to the technical field of physics, and further relates to a traffic flow prediction method in the absence of data based on optimal cutting in the technical field of traffic flow prediction. The present invention can use the optimal cutting method to predict the urban road traffic flow in the future preset time period under the condition of lack of traffic data, and can be used to provide real-time traffic flow changes for vehicles under the condition of data loss, and provide benefits for travelers and traffic management. Departments provide real-time reference. Background technique [0002] Traffic flow forecasting, that is, predicting the real-time flow of motor vehicles on urban roads, is playing an increasingly important role as the basis for real-time traffic state discrimination and traffic flow guidance. On the one hand, traffic flow forecast information can provide travelers with planning basis for travel modes, travel ro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/01G08G1/0104G08G1/0141G08G1/0133G08G1/0112G08G1/0116G08G1/0129
Inventor 李长乐岳文伟张和和陈越
Owner XIDIAN UNIV
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