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Traffic data completion method and system, a device and a medium

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

Active Publication Date: 2019-10-11
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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  • Traffic data completion method and system, a device and a medium
  • Traffic data completion method and system, a device and a medium
  • Traffic data completion method and system, a device and a medium

Examples

Experimental program
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Effect test

Embodiment 2

[0080] Embodiment 2, this embodiment also provides a traffic data completion system;

[0081] A traffic data completion system, comprising:

[0082] The three-dimensional traffic data tensor construction module is configured to: set the time interval Δt, construct the traffic data to be completed 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 vehicle congestion level of 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, and extract the road section-time interval matrix and the day-time interval matrix from the three-dimensional traffic data tensor; for the road section-time interval matrix and the day-time The interval matrix is ​​...

Embodiment 3

[0085] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the method is completed. Each operation in , for the sake of brevity, will not be repeated here.

[0086] Described electronic device can be mobile terminal and non-mobile terminal, and non-mobile terminal comprises desktop computer, and mobile terminal comprises smart phone (Smart Phone, such as Android mobile phone, IOS mobile phone etc.), smart glasses, smart watch, smart bracelet, tablet computer , laptops, 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 traffic data completion method, system, device and medium. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In the process of realizing the present disclosure, the inventors found that the following technical problems existed in the prior art: [0004] Traffic congestion has an inseparable relationship with 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 traffic possible. For example, based on predicted traffic conditions, managers can optimize traffic signal times, and people can dynamically adjust their driving routes. However, loss of traffic data due to sensor failure,...

Claims

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Application Information

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