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

Traffic flow data recovery method based on space-time correlation

A spatiotemporal correlation, traffic flow technology, applied in the field of traffic engineering, can solve problems such as the inability to meet the requirements of real-time processing of traffic data and the complexity of the algorithm

Inactive Publication Date: 2014-08-06
ZHEJIANG UNIV
View PDF5 Cites 43 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
  • Traffic flow data recovery method based on space-time correlation
  • Traffic flow data recovery method based on space-time correlation
  • Traffic flow data recovery method based on space-time correlation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The technical solution of the patent of the present invention will be further described in detail below with reference to the accompanying drawings.

[0064] like figure 2 As shown, the method steps of the present invention are as follows:

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

[0066] In practice, when the vehicle detector uploads the traffic data, it is usually uploaded according to the signal control period, not according to the fixed time interval. Therefore, to analyze and apply the data later, 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 converted into a traffic flow data set q of a fixed period T by a weighted average.

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

[0069] The traffic flow data ...

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 traffic flow data recovery method based on space-time correlation. Background technique [0002] Traffic information data is the foundation of an intelligent transportation system. High-quality and complete traffic information data is conducive to improving the accuracy of traffic management and control. Traffic information data mainly includes traffic flow, speed and occupancy rate, of which traffic flow data is the most basic and most important data. [0003] Usually, the intelligent transportation system mainly uses the floating car data and the intersection and road section vehicle detector data. Floating car data refers to the position data obtained by a floating car equipped with a global positioning system, as well as data such as speed and travel time inferred from it; intersection and road section vehicle detector data refers to the data obtained by various vehicles i...

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 Applications(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