Traffic data quality monitoring system

Abstract

The invention provides a traffic data quality monitoring system. An itemized monitoring module dynamically monitors equipment operating statuses and data quality of electronic polices, intelligent toll gates and vehicle detectors; a risk early warning module realizes early warning and integrated processing of abnormal data; a decision support module analyzes system abnormal data detection conditions and effective data situations according to processing results of the risk early warning module and a data checking module; a parameter configuration module provides parameter detection and early warning conditions for the itemized monitoring module and the risk early warning module. The traffic data quality monitoring system has advantages that abnormal data can be recognized, detected data quality assessment, checking and treatment can be realized, and accordingly false detection and judgment caused by abnormal conditions such as equipment faults and environment interferences are avoided, workload is relieved for workers, and law enforcement data validity and reliability are guaranteed.

Description

technical field [0001] The invention relates to a traffic data quality monitoring system. Background technique [0002] At present, with the rapid increase of road traffic volume and frequent violations of vehicle rules and regulations, traffic management departments are facing increasingly heavy traffic law enforcement tasks. In order to improve the efficiency of traffic law enforcement, ensure the justice of law enforcement, monitor real-time traffic data, and reduce the inspection workload of front-line traffic police, off-site law enforcement systems are widely used. The system automatically detects motor vehicle violations such as running red lights, going the wrong way, crossing the line, and illegal parking, etc., realizes all-weather monitoring, captures graphic information of vehicle violations, and performs post-processing according to the violation information. This automatic law enforcement process simplifies the traditional traffic police law enforcement mode, ...

AI Technical Summary

Problems solved by technology

[0003] However, affected by various uncertain factors such as equipment working status, network transmission, road traffic conditions, weather environment and manual review, data loss may occur due to human or objective factors in data collection, processing and review. , mistakes and other quality problems, the resulting misjudgments of illegal acts, misjudgments directly affect the credibility of law enforcement agencies and the quality of public services, and adversely affect the law enforcement work of the traffic police

At present, there is still a lack of systems for off-site law enforcement data quality monitoring and risk early warning

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