Dynamic traffic abnormal data detection and recovery method

A technology of abnormal data detection and repair method, which is applied in traffic flow detection, electrical digital data processing, special data processing applications, etc., and can solve problems such as difficulty in promotion.

Inactive Publication Date: 2014-11-19
JIANGNAN UNIV +1
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Problems solved by technology

However, these methods require a large amount of statistical data or a large amount of high-quality data to train the model, which is difficult to promote in practice

Method used

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  • Dynamic traffic abnormal data detection and recovery method
  • Dynamic traffic abnormal data detection and recovery method
  • Dynamic traffic abnormal data detection and recovery method

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with accompanying drawing.

[0040] Such as figure 1 with figure 2 Shown, a kind of dynamic traffic abnormal data detection and repair method of the present invention is characterized in that, comprises the following steps:

[0041] (S1) Pass the data collected in real time in dynamic traffic through a sliding window (Sliding Window) model with a length of N in chronological order;

[0042] (S2) After receiving the newly collected traffic data in the sliding window, immediately start to calculate the MinPts-distance neighborhood NminPts of all data objects in the sliding window, and calculate the distance to each object in the field, where MinPts-distance neighborhood The domain is calculated as:

[0043] N MinPts (p)={q∈D\p|d(p,q)≤k-distance(p)} (1)

[0044] (S3) Calculate the reachable density lrd of all data points in the sliding window MinPts , whose calculation formula is:

[0045] ...

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Abstract

The invention discloses a dynamic traffic abnormal data detection and recovery method including abnormal data detection and abnormal data recovery. A density-based local abnormal isolated point discovery method is adopted for abnormal data detection, and a grey system theory based recovery method is adopted for abnormal data recovery. By the method, abnormal data in vehicle operating data in dynamic traffic are detected and recovered effectively in real time, data quality is improved, and traffic safety is guaranteed finally accordingly.

Description

technical field [0001] The invention relates to a method for detecting and repairing data, in particular to a method for detecting and repairing abnormal data in dynamic traffic, and belongs to the technical field of detecting and repairing abnormal data in dynamic traffic. Background technique [0002] During the operation of dynamic traffic vehicles, due to the impact of road environment, weather, vehicle equipment failure, and even some human factors, the vehicle operation and operating status data collected by its on-board system may be lost, wrong, redundant, etc. abnormal situation. The appearance of abnormal data may bring difficulties to the dynamic supervision of passenger vehicles and may threaten traffic safety. [0003] The traditional processing method is: firstly, use traditional methods based on statistics, distance-based and deviation-based to detect abnormal data, or use learning-based algorithms such as clustering, support vector machines and neural networ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G08G1/01
Inventor 陈志勇黄俊杨乐彭力莫子兴蔡岗
Owner JIANGNAN UNIV
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