A congested area identification method based on traffic coil detection data quality control

Abstract

The invention discloses a congestion area identification method based on the traffic coil detection data quality control, based on the vehicle speed, flow rate and time occupancy rate in the original traffic coil data, the data beyond the threshold, missing data, error data, abnormal attribute data, traffic flow Abnormal data is corrected. Then build a traffic threshold estimation model based on Tukey smoothing method to identify abnormal traffic data, and combine historical data with the help of multiple linear regression to correct, and finally obtain a reasonable data set. With the help of reasonable data set vehicle speed, flow rate and time occupancy rate, identify traffic congestion areas. The invention can simply and efficiently control the quality of the traffic coil detection data, obtain a reasonable data set, avoid the interference of noise data, and ensure the accuracy of traffic jam area identification.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and in particular relates to a method for identifying congestion areas based on traffic coil detection data quality control. Background technique [0002] The traffic coil detection technology is a vehicle detection technology based on electromagnetic induction. The tuning circuit is composed of a signal processing unit, a ring coil and a feeder line. When the working current passes through the coil, an electromagnetic field will be formed around it. When the vehicle travels above the coil, The metal car body induces an eddy current, and the eddy current generates an electromagnetic field opposite to the direction of the loop, which reduces the inductance in the loop coil, thereby causing the resonant frequency of the circuit to increase, thereby achieving the purpose of traffic data collection, background data management system Data is recorded at a certain time aggregation rate, and ea...

AI Technical Summary

Problems solved by technology

Although these studies have preprocessed the original data before analysis, the method is extremely simple, limited to the identification and elimination of missing and abnormal data, and has not given a detailed and perfect quality control method for traffic loop detection data, and there is still a lack of direct Data quality control system used to guide the actual work of data users

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