Vehicle GPS data set data processing method and device

Abstract

The embodiment of the invention discloses a vehicle GPS data set data processing method and device. The method comprises the steps that a vehicle GPS data set is acquired; the quality problem of the vehicle GPS data set is classified and analyzed so as to determine the data error type of the vehicle GPS data set, wherein the data error type of the vehicle GPS data set includes but not limited to loss of sampling point, loss of attribute, redundant data, time error, data jump and preset space range random movement; and the corresponding processing method is applied to perform data processing onthe GPS data set according to the data error type of the vehicle GPS data set. The corresponding processing method is applied to perform data processing on the GPS data set according to the data error type of the vehicle GPS data set so that the accuracy of the GPS data set can be enhanced and later analysis, such as reckoning the road network operation state, can be facilitated.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data processing method and device for vehicle GPS data sets. Background technique [0002] Road information sampling data is one of the basic data of intelligent transport system (Intelligent Transport System, ITS). The initial basic data often has strong noise and cannot be used directly, so the preprocessing of basic data is very basic and necessary. [0003] The real-time road monitoring information obtained by vehicle GPS sampling equipment provides data support for the calculation of urban road network traffic status. By analyzing the entire link of traffic data from generation, collection, upload to the information center, it is found that there are many factors that affect the quality of the data, mainly including several aspects: (1) The reasons for the accuracy of satellite positioning, the current GPS (Global Positioning System, Global Positioning System) Th...

AI Technical Summary

Problems solved by technology

By analyzing the entire link of traffic data from generation, collection, upload to the information center, it is found that there are many factors that affect the quality of the data, mainly including several aspects: (1) The reasons for the accuracy of satellite positioning, the current GPS (Global Positioning System, Global Positioning System) The positioning accuracy of the positioning equipment is 20-50m, which means that there must be some errors between the positioning position of the original GPS data and the actual position, and the error is within 50m; (2) When the outside world has strong interference on the signal (such as viaduct Or high-rise buildings, etc.), the signal propagation path changes, it is difficult for GPS equipment to send signals to the data center, or the time, instantaneous speed, longitude and latitude field record values ​​​​of sending data deviate from the actual situation; (3) GPS positioning equipment, data center Faults such as the acceptance system and related human factors are also likely to cause some quality problems such as loss, redundancy, error, and incoherence in the obtained individual inspection data.

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