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Abnormal value detection method for microwave traffic data acquisition device

A technology of traffic data and collection equipment, applied in the field of abnormal value detection of microwave traffic data collection equipment, can solve the problems of difficult multi-dimensional data use and low efficiency, and achieve the effect of improving detection efficiency, saving time, and having operability

Active Publication Date: 2018-11-20
ZHEJIANG YINJIANG ZHIHUI TRAFFIC GRP CO LTD
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Problems solved by technology

This approach is inefficient and difficult to use on multidimensional data

Method used

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  • Abnormal value detection method for microwave traffic data acquisition device

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with specific examples, but the present invention is not limited to these specific implementations. Those skilled in the art will realize that the present invention covers all alternatives, modifications and equivalents as may be included within the scope of the claims.

[0028] see figure 1 , the present embodiment provides a method for detecting abnormal values ​​of microwave traffic data acquisition equipment, including:

[0029] (1) Read the data collected by the microwave traffic data acquisition equipment, and perform effective dimension screening on the data of the same dimension to obtain multi-dimensional effective data;

[0030] The multi-dimensional effective data in this embodiment includes traffic volume, vehicle passing speed, and vehicle occupancy rate. The original microwave data contains many dimensions, but some dimensions, such as record auto-increment ID, do not play a significant...

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Abstract

The invention relates to an abnormal value detection method for a microwave traffic data acquisition device. The method comprises steps that (1), data collected by the microwave traffic data acquisition device is read, and effective dimension screening of the data of the same dimensions is performed to obtain multi-dimensional valid data; (2), standardization of the multi-dimensional valid data isperformed; (3), the standardized multi-dimensional valid data is clustered to obtain the corresponding clustering result; and (4), performance of the data in each category in the clustering result isdetermined, and which categories of the data are abnormal data is determined. The method is advantaged in that multi-dimensional features of the microwave data can be effectively utilized, data abnormal values are screened from the global perspective, a previous method of analyzing the abnormal values from a single dimension is replaced, efficiency of abnormal value detection is improved, the method is operational at the massive data level, and the time and energy of technicians are saved.

Description

technical field [0001] The invention belongs to the field of urban traffic, and relates to an abnormal value detection method of a microwave traffic data acquisition device based on a Kmeans clustering algorithm. Background technique [0002] There are various data acquisition methods and devices in the traffic field, among which microwave devices are widely installed on urban roads due to their stability. The analysis and utilization of data collected by traffic data collection equipment has guiding significance in urban development issues such as traffic congestion control and road planning. However, due to the existence of objective reasons, the data collected by traffic collection equipment often has outliers, which leads to a decline in data quality and affects the subsequent analysis of data. Therefore, it is necessary to perform outlier detection on the original data to ensure data quality. According to past experience, the data collected by traffic collection equipm...

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Application Information

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IPC IPC(8): G08G1/01G08G1/04G06K9/62
CPCG08G1/0108G08G1/0125G08G1/0133G08G1/04G06F18/23213
Inventor 许彦超
Owner ZHEJIANG YINJIANG ZHIHUI TRAFFIC GRP CO LTD
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