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

A traffic flow data recovery method based on spatio-temporal correlation

A technology of time-space correlation and traffic flow, applied in the field of traffic engineering, can solve the problems that cannot meet the requirements of real-time processing of traffic data, complex algorithms, etc.

Inactive Publication Date: 2015-11-18
ZHEJIANG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, while improving the accuracy of data screening and recovery, these algorithms are too complex to meet the requirements of real-time processing of traffic data, and are difficult to be used in actual road traffic signal control systems

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
  • A traffic flow data recovery method based on spatio-temporal correlation
  • A traffic flow data recovery method based on spatio-temporal correlation
  • A traffic flow data recovery method based on spatio-temporal correlation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] Below in conjunction with accompanying drawing, the technical scheme of the patent of the present invention is described in further detail.

[0064] Such as figure 2 Shown, the inventive method step is as follows:

[0065] Step (1). Traffic flow data format conversion

[0066] In actual situations, when the vehicle detector uploads traffic data, it usually uploads according to the signal control period, and does not upload according to a fixed time interval. Therefore, to analyze and apply the data in the future, the data format must be converted first.

[0067] The original traffic flow data q obtained by detecting the detection point by the vehicle detector orig The unit is converted into standard hourly flow data, and then the standard hourly flow data is weighted and averaged into a traffic flow data set q with a fixed period T.

[0068] The fixed period T can be determined according to actual application needs;

[0069] The traffic flow data set q={q(1),...,q(...

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 traffic flow data recovery method based on space-time correlation. The method includes a front-stage traffic data conversion and abnormal data screening method and a follow-up traffic flow data recovery method. The data screening method relates to a threshold value screening method, a zero data screening method and a quality screening method according to the abnormal condition of actual traffic flow data. According to time correlation and space correlation of traffic flow data, by the combination of a time sequence method and a multiple linear regression method, namely the data recovery method based on temporal correlation and spatial correlation, the comprehensive traffic flow data recovery method based on space-time correlation is designed. The method is simple and quick, the real-time processing requirement can be met, and an acquired result is high in accuracy.

Description

technical field [0001] The invention belongs to the field of traffic engineering and relates to a method for restoring traffic flow data based on time-space correlation. Background technique [0002] Traffic information data is the basis of intelligent transportation system, and high-quality and complete traffic information data is conducive to improving the accuracy of traffic management and control. Traffic information data mainly include traffic flow, speed and occupancy rate, among which traffic flow data is the most basic and important data. [0003] Generally, intelligent transportation systems mainly use floating car data and vehicle detector data at intersections and road sections. Floating car data refers to the position data obtained by the floating car equipped with the global positioning system, and the speed, travel time and other data inferred from it; Traffic flow, speed, occupancy rate and other data detected by the vehicle detector. Relatively speaking, d...

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): G08G1/01G06F19/00
Inventor 宋春跃吴俏沈国江王慧
Owner ZHEJIANG 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