Road traffic perception trajectory data quality evaluation method

Abstract

The invention relates to a road traffic perception trajectory data quality evaluation method, which comprises the following steps: acquiring road traffic perception trajectory data, and extracting to-be-evaluated road traffic perception trajectory data from the road traffic perception trajectory data; calculating a quality evaluation index of the to-be-evaluated road traffic perception trajectory data; establishing a road traffic perception trajectory data intelligent evaluation model of adaptive fusion regression; constructing a simulation trajectory data set based on a historical trajectory data set disclosed by road traffic, and training a road traffic perception trajectory data intelligent evaluation model based on the simulation trajectory data set; and inputting the quality evaluation index of the to-be-evaluated road traffic perception trajectory data into the trained road traffic perception estimation data intelligent evaluation model to obtain a corresponding road traffic perception trajectory data quality evaluation result. Compared with the prior art, the invention has the advantages that the quality evaluation indexes of multivariate dimensions are fused, and the quality of the road traffic sensing track data can be accurately and quickly evaluated.

Description

technical field [0001] The invention relates to the technical field of traffic data quality assessment, in particular to a quality assessment method for road traffic perception track data. Background technique [0002] With the rapid development of smart highways, a large number of smart sensors (such as high-definition cameras, millimeter-wave radars, lidars, etc.) and edge computing devices will be deployed on the roadside of the highway. The full-time and space-time road traffic perception trajectory data provides the possibility for microscopic driving behavior perception, accurate identification of traffic status, and online parallel simulation deduction. However, the quality of road traffic perception trajectory data directly determines the effect of traffic system analysis and evaluation and control measures. How to evaluate the quality of road traffic perception trajectory data has also become a difficult problem that needs to be solved under the rapid development of...

AI Technical Summary

Problems solved by technology

However, the existing evaluation indicators only characterize the data quality from the data elements and time series dimensions, and there is a problem of single quantitative index dimension, ignoring the abnormality of the spatial dimension, which is also an important dimension reflecting the quality level of road traffic perception trajectory data; in addition, The index weights of the evaluation methods are mostly determined by humans, which has the problems of strong subjectivity and poor robustness

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