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A Floating Car Data Processing Method Based on Improved Limiting Average Filter

A floating car data and average filtering technology, which is applied in the direction of electrical digital data processing, special data processing applications, geographic information databases, etc., can solve problems such as unable to suppress periodic errors, achieve efficient algorithms, convenient operation, and improve detection accuracy Effect

Active Publication Date: 2021-03-16
EAST CHINA UNIV OF TECH
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Problems solved by technology

The advantage of this method is that it can effectively overcome the error interference caused by accidental factors, but there is a defect that it cannot suppress periodic errors

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  • A Floating Car Data Processing Method Based on Improved Limiting Average Filter
  • A Floating Car Data Processing Method Based on Improved Limiting Average Filter
  • A Floating Car Data Processing Method Based on Improved Limiting Average Filter

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Embodiment Construction

[0052] The present invention provides a floating car data processing method based on improved clipping average filtering. In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0053] Based on the technology of the existing method, combined with the spatial distribution of FCD on the road and its intersection lanes, aiming at the practical problem of using floating car data to calculate road lanes, a floating car data processing based on improved limiting average filtering is proposed method. This method mainly includes two parts: trajectory segmentation and FCD filtering. Among them, the trajectory segmentation is the necessary data processing basis for processing the floating car data by using the improved clipping average filter. The essence of this method is to invert the numbe...

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Abstract

The invention provides a floating car data filtering method based on the improved clipping average filter, including data input, feature analysis, according to FCD distribution state analysis, road intersection structure analysis, FCD and road mapping analysis, to obtain the floating car trajectory Spatial distribution law; after FCD data preprocessing, according to the urban road vector map and road intersection planning specifications, according to the road nodes, road types and road intervals, the floating car data is divided into three levels, and the segmentation segment is used as the basic research unit; Track centerline fitting, data conversion and integration, combined with the geometric characteristics of the trajectory of the floating car, the change of motion characteristics and the spatial distribution of the floating car data, the data filtering of the floating car based on the improved clipping average filter is carried out. The technical solution of the present invention has the advantages of convenient operation and efficient algorithm, and can provide a more practical data source for subsequent technologies such as detecting widening lanes with floating car data, and improve corresponding detection accuracy.

Description

technical field [0001] The invention belongs to the technical field of spatio-temporal trajectory big data, and relates to a method for cleaning and processing floating car data based on an improved limiting average filter. Background technique [0002] Due to traffic detection equipment failures, communication system failures, and abnormal environmental factors, there are omissions, errors, and inaccuracies in the collected traffic data. These data with quality problems are used for road information monitoring, which will inevitably produce unstable factors and affect the detection effect. Due to the huge data volume of floating car data, traditional data processing methods are not suitable. Therefore, it is necessary to analyze common problems in floating car data in order to select appropriate data processing methods, detect and eliminate errors and inconsistencies in data, and improve data quality. Quality, so as to serve traffic management and public travel better info...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06F16/215G06F16/29G06K9/00G06K9/34G06K9/62
CPCG08G1/0112G08G1/0125G06V20/54G06V20/588G06V10/267G06V2201/10G06F18/2135G06F18/214
Inventor 李小龙吴玉珍谭永滨程朋根吴静王毓乾
Owner EAST CHINA UNIV OF TECH
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