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A traffic data completion method, system, device and medium

A technology of traffic data and completion, which is applied in traffic control systems, traffic control systems of road vehicles, traffic flow detection, etc., and can solve the unrealistic problems of obtaining complete traffic data

Active Publication Date: 2020-09-29
SHANDONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in reality, it is unrealistic to obtain complete traffic data

Method used

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  • A traffic data completion method, system, device and medium
  • A traffic data completion method, system, device and medium
  • A traffic data completion method, system, device and medium

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Experimental program
Comparison scheme
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Embodiment 2

[0080] In the second embodiment, this embodiment also provides a traffic data completion system;

[0081] A traffic data completion system, including:

[0082] The three-dimensional traffic data tensor building module is configured to: set a time interval Δt, construct the to-be-completed traffic data into a three-dimensional traffic data tensor about road section-time interval-day, and each element in the three-dimensional traffic data tensor represents The degree of vehicle congestion on a certain road section at a certain time interval on a certain day; the three-dimensional traffic data tensor includes several missing values;

[0083] The joint matrix decomposition module is configured to: perform joint matrix decomposition on the three-dimensional traffic data tensor, extract the road section-time interval matrix and the day-time interval matrix from the three-dimensional traffic data tensor; and perform the joint matrix decomposition on the road section-time interval matrix and...

Embodiment 3

[0085] In the third embodiment, this embodiment also provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, the method is completed For the sake of brevity, each operation in, will not be repeated here.

[0086] The electronic device may be a mobile terminal and a non-mobile terminal. The non-mobile terminal includes a desktop computer. The mobile terminal includes a smart phone (Smart Phone, such as an Android phone, an IOS phone, etc.), smart glasses, smart watches, smart bracelets, and tablet computers. , Notebook computers, personal digital assistants and other mobile Internet devices that can communicate wirelessly.

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Abstract

The present invention discloses a traffic data completion method and system, a device and a medium. The method is characterized in that: a time interval Delta t is set, and traffic data to be completed is constructed into a three-dimensional traffic data tensor related to road sections-time intervals-days, wherein each element in the three-dimensional traffic data tensor represents degree of vehicle congestion of a certain road section in a certain time interval of a certain day; the three-dimensional traffic data tensor comprises a plurality of missing values; carrying out joint matrix decomposition on the three-dimensional traffic data tensor, and extracting a road sections-time intervals matrix and a days-time intervals matrix from the three-dimensional traffic data tensor; performing decomposition operation to the road sections-time intervals matrix and the days-time intervals matrix respectively; and integrating results in the joint matrix decomposition, to obtain a complete traffic congestion degree tensor, thus completing the traffic data.

Description

Technical field [0001] The present disclosure relates to the field of traffic data processing, and in particular to a method, system, equipment and medium for completing traffic data. Background technique [0002] The statements in this section merely mention background technologies related to the present disclosure, and do not necessarily constitute prior art. [0003] In the process of implementing the present disclosure, the inventor found the following technical problems in the prior art: [0004] Traffic congestion is closely related to people's daily life and urban development. In road segment networks, embedded sensors are usually used to collect real-time traffic conditions. A large amount of traffic data makes research in the field of transportation possible. For example, based on predicted traffic conditions, managers can optimize traffic signal time, and people can dynamically adjust their driving routes. However, due to sensor failure, transmission error or other reas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0125
Inventor 陈勐禹晓辉贾晓艺张鹏
Owner SHANDONG UNIV