Road optimization method based on traffic video structured data quality control

Abstract

The invention discloses a road optimization method based on traffic video structured data quality control. The road optimization method includes the steps that error data are removed according to license plate information, redundant data are removed with the help of the vehicle passing time and lane numbers, traffic abnormal data are repaired, and road optimization is performed combining the roaddesign traffic capacity. The correction of the traffic abnormal data includes the three steps that first, based on a secondary screening data set, the traffic is controlled combining the traffic capacity, second, a reasonable dynamic traffic threshold value is constructed with the help of a Tukey smoothing method to identify the traffic abnormal data, and third, based on historical data or adjacent detector data, the traffic abnormal data are corrected with the help of multiple linear regression to obtain an effective data set. According to the road optimization method based on traffic video structured data quality control, quality control on traffic video structured data can be simply and efficiently performed, interference of noise data is avoided, and the accuracy of a road optimizationdesign scheme can be ensured.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and relates to a road optimization method based on traffic video structured data quality control. Background technique [0002] With the continuous development of cities, the number of motor vehicles has increased year by year, which has caused huge traffic pressure on the limited urban space. In order to alleviate various current traffic problems, intelligent transportation systems have emerged as the times require. The so-called intelligent transportation system is to efficiently integrate and apply existing technologies such as information, communication, control and sensing to the transportation system, so as to establish a real-time and accurate system that can play a role in a wide range. traffic information system. [0003] High-quality dynamic traffic information reflects the real-time traffic operation status and evolution trend, which is conducive to the management department ...

AI Technical Summary

Problems solved by technology

At present, the quality control of video structured data mainly stays in the two aspects of video structured model innovation and hardware adaptability research. Although these two aspects of research can reduce the existence of system errors and improve the quality of video structured data, but in In the actual urban traffic system, traffic video detection is affected by many random factors such as equipment failure, communication failure, abnormal traffic conditions, and abnormal weather. It is prone to random errors in the structured data of traffic video, which leads to data errors and redundancy. and abnormal conditions, which greatly weaken the application effect of the video detection system

For the traffic video structured data, there is still a lack of a complete set of data quality control system that can directly guide the actual work of data users in view of the abnormalities brought by these errors to the traffic video structured data

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