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

Traffic travel mode recognition method based on wireless signal

A technology of traffic travel and pattern recognition, which is applied in the direction of location information-based services, wireless communication, radio wave measurement system, etc., and can solve problems such as low accuracy, high complexity, and large amount of computation

Inactive Publication Date: 2019-10-18
SOUTH CHINA UNIV OF TECH
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, for the identification methods of traffic travel patterns, decision trees, Bayesian networks, support vector machines, conditional random fields and other pattern recognition methods are mainly used. Problems such as low accuracy cannot meet the requirements of real-time monitoring of smart cities

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 travel mode recognition method based on wireless signal
  • Traffic travel mode recognition method based on wireless signal
  • Traffic travel mode recognition method based on wireless signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] In order to more clearly describe the embodiments of the present invention or the technical solutions in the prior art, the exemplary embodiments will be described below in conjunction with the accompanying drawings.

[0069] Such as figure 1 A kind of traffic travel pattern recognition method of basic wireless signal shown, it comprises the following steps:

[0070] Step S1, through a large number of WI-FI sniffing devices arranged on both sides of the road, information such as RSSI signal strength and TIME timestamp of the moving target can be obtained. Furthermore, using the weighted centroid positioning algorithm, the positioning point of the moving target can be estimated. The algorithm uses weighting factors to reflect the influence of the distance of each WI-FI sniffing device on the centroid position, as shown in the following formula:

[0071]

[0072] In the formula, x is the x-axis coordinate of the anchor point; y is the y-axis coordinate of the anchor ...

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 travel mode recognition method based on wireless signals, and comprises the following steps: S1, collecting RSSI data, and positioning a moving target; S2, performing smoothing processing on the travel trajectory by using Kalman filtering; S3, determining a travel trajectory formed by travel of a single user, and extracting feature vectors about the average speedand the travel distance in the travel trajectory to obtain travel features of travelers; S4, identifying a rough identification travel mode based on the feature vector, wherein the rough identification travel mode comprises a walking mode, a bicycle mode and a motor vehicle mode; and S5, identifying a fine identification travel mode based on the parking point, wherein the fine identification travel mode comprises a bus mode and a car mode. The method has the advantages of high real-time dynamic property, wide identification types and high precision, and can provide accurate basic data supportfor urban traffic planning, design, control, management, monitoring and the like.

Description

technical field [0001] The invention relates to the technical field of traffic travel information, in particular to a traffic travel pattern recognition method based on wireless signals. Background technique [0002] The traffic monitoring system is an important part of the urban intelligent transportation system. The establishment of an intelligent transportation system requires real-time, dynamic, and large-scale extraction of road traffic information, especially individual travel trajectories. In the past, due to the limitations of technical conditions, questionnaire surveys and sample surveys were often used to study the travel characteristics of residents' origins and destinations, and it was impossible to monitor the travel structure of the urban transportation network in real time, especially the distribution of passenger flow. At present, many studies on traffic travel pattern recognition use GPS data, but the positioning request of this technology is initiated by th...

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
IPC IPC(8): H04W4/02H04W4/029H04W64/00G01S11/06
CPCG01S11/06H04W4/027H04W64/00H04W4/029
Inventor 林永杰黄紫林
Owner SOUTH CHINA UNIV OF TECH
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