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Floating car data processing method based on improved amplitude limiting average filtering

A floating car data, average filtering technology, applied in electrical digital data processing, special data processing applications, traffic control systems for road vehicles, etc. The effect of detection accuracy

Active Publication Date: 2018-11-06
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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  • Floating car data processing method based on improved amplitude limiting average filtering
  • Floating car data processing method based on improved amplitude limiting average filtering
  • Floating car data processing method based on improved amplitude limiting average filtering

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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 processing method based on improved amplitude limiting average filtering. The floating car data processing method comprises the following steps, carrying outdata input, characteristic analysis, state analysis based on FCD (Floating Car Data) distribution, road intersection structure analysis, FCD and road mapping analysis so as to obtain a spatial distribution pattern of a floating car track; carrying out FCD data preprocessing, carrying out three-stage partitioning on floating car data on the basis of a city road vector diagram and road intersectionturnout planning specifications according to road nodes, road types and road gaps respectively, and taking partitioned sections as basis study units; carrying out track center line fitting and data conversion and integration, and with the combination of floating car track geometrical characteristics, motion characteristic change rules and spatial distribution rules of floating car data, carryingout floating car data filtering based on improved amplitude limiting average filtering. The technical scheme of the invention has the advantages of being convenient in operation and efficient in algorithm, practical data sources can be provided for later techniques that lanes are widened according to floating car data exploration, and exploration precision is correspondingly improved.

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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IPC IPC(8): G08G1/01G06F17/30G06K9/00G06K9/34G06K9/62
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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