Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Geomagnetic data anomaly discrimination method and system based on vehicle detection probability

A vehicle detection and data anomaly technology, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., can solve the problems of inaccurate discrimination of abnormal data and serious formulation

Active Publication Date: 2020-09-04
SHANDONG JIAOTONG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing geomagnetic data discrimination methods do not consider the influence of the above factors, and only predict from the aspects of time series, mathematical statistics and traffic flow theory. The formula is serious, and the judgment of abnormal data depends on historical data. Traffic data is not static and has random characteristics. Historical data is only for reference, resulting in inaccurate identification of abnormal data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Geomagnetic data anomaly discrimination method and system based on vehicle detection probability
  • Geomagnetic data anomaly discrimination method and system based on vehicle detection probability
  • Geomagnetic data anomaly discrimination method and system based on vehicle detection probability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0078] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0079] A method for discriminating abnormal geomagnetic data based on vehicle detection probability of the prese...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a geomagnetic data exception judgment method and system based on a vehicle detection probability. The method comprises the following steps that: establishing a geomagnetic database; calculating a vehicle occupation detector time model under a red light signal and a vehicle occupation detector time model under a green light signal on the basis of the vehicle detection probability so as to obtain an occupancy and traffic distribution model; according to the upper boundary and the lower boundary of the occupancy and traffic distribution model, judging whether the geomagnetic data is exceptional or not; and if the geomagnetic data is positioned between the upper boundary and the lower boundary of the occupancy and traffic distribution model, proving that the geomagneticdata is normal; and otherwise, proving that the geomagnetic data is exceptional.

Description

technical field [0001] The invention belongs to the field of traffic data processing, and in particular relates to a method and system for discriminating geomagnetic data anomalies based on vehicle detection probability. Background technique [0002] At present, geomagnetic detectors have been widely used in large and medium-sized cities in China. Geomagnetic detectors can provide traffic data such as traffic flow and occupancy rate, which are used to analyze the operation status of urban road traffic and alleviate urban road congestion. However, because the geomagnetic detector has been buried underground for a long time, is prone to aging and is affected by factors such as signal instability, the detection data often appears abnormal, which seriously affects the quality of the original geomagnetic data. [0003] Most of the existing geomagnetic data identification methods use methods such as time series, mathematical statistics, and traffic flow theory to identify abnormal...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/042G08G1/01G08G1/07
CPCG08G1/0104G08G1/0125G08G1/042G08G1/07
Inventor 张萌萌韩欣彤王以龙陆洪岩王喆
Owner SHANDONG JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com