Data processing and fusion method for large-scale traffic information

Abstract

The invention discloses a data processing and fusion method for large-scale traffic information and belongs to real-time traffic information processing technologies. The method includes: obtaining normal data of a truth value according to multisource traffic data acquired by a test vehicle and each sensor, and determining a dynamic assignment method for parameters; rejecting abnormal data in data sets acquired by the sensors, and performing historical data compensation; and fusing real-time grading information of the multisource traffic data with data compensation completed. The truth value system is set up for obtaining correct initial assignment parameters of various acquisition modes and rejecting acquired abnormal data, missing data are reasonably filled according to the historical data to guarantee accuracy and integrity of the data, and the data acquired by different acquisition modes are graded and fused gradually to guarantee reliability of the data. Moreover, quickness in the fusion process is achieved, and influences of traffic incidents, traffic control, land occupation construction and traffic accidents on data in the fusion process are considered.

Description

technical field [0001] The invention relates to the technical field of real-time processing of traffic information of an intelligent traffic system, in particular to a data processing and fusion method of large-scale traffic information. Background technique [0002] Information fusion was first applied in the military field. It is a multi-level and multi-faceted process of combining multi-source information and data to complete target detection, association, and status assessment. The purpose of this information fusion is to obtain accurate target identification, complete and timely battlefield situation and threat assessment. With the development of sensor technology, computer science and information technology, a large number of multi-sensor systems for complex application backgrounds have emerged, making multi-channel information acquisition, processing and fusion possible. In many fields such as diagnosis, weather forecast, organization and management decision-making, ...

AI Technical Summary

Problems solved by technology

[0005] The existing traffic data fusion technology is more focused on data-level information fusion. The fusion process does not classify the data according to the stability of the sensor, and does not check and eliminate the data collected by the sensor. The data is fused step by step. The influence of traffic incidents, traffic control, land occupation construction, and traffic accidents on the data is not considered

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