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

Full-dose full-sample real-time traffic data-based multi-parameter fusion method and system

A technology of real-time traffic and fusion methods, applied in traffic control systems, road vehicle traffic control systems, traffic flow detection, etc., can solve the problems of traffic big data and large amount of data, and achieve the effect of solving urban traffic problems

Inactive Publication Date: 2020-02-18
吴钢 +1
View PDF8 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problems existing in the prior art, the present invention provides a multi-parameter fusion method and system based on real-time traffic data of full quantity and full sample, which solves the problem of large data volume of traffic big data in the prior art

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
  • Full-dose full-sample real-time traffic data-based multi-parameter fusion method and system
  • Full-dose full-sample real-time traffic data-based multi-parameter fusion method and system
  • Full-dose full-sample real-time traffic data-based multi-parameter fusion method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Embodiment 1 provided by the present invention is an embodiment of a multi-parameter fusion method based on full-scale and full-sample real-time traffic data provided by the present invention, such as figure 2 Shown is a flowchart of an embodiment of a multi-parameter fusion method based on full-scale and full-sample real-time traffic data provided by the present invention, by figure 2 As can be seen, this embodiment includes:

[0042] Step 1: Extract moving vehicles based on the image sequence of the surveillance video to obtain vehicle trajectory data, and conduct mathematical statistics on the vehicle trajectory data of various vehicle types to obtain traffic flow data. The vehicle types include large vehicles and small vehicles. Such as image 3 Shown is a flowchart of data extraction based on surveillance video provided by the embodiment of the present invention.

[0043] Vehicle trajectory data includes: time series trajectory data of time stamp, vehicle ID, v...

Embodiment 2

[0076] Embodiment 2 provided by the present invention is an embodiment of a multi-parameter fusion system based on full-scale and full-sample real-time traffic data provided by the present invention, such as Figure 4 As shown, the system includes: a surveillance video data processing module 101 , a radar microwave and geomagnetic coil data processing module 102 and a data fusion module 103 .

[0077] The monitoring video data processing module 101 is used to extract moving vehicles based on the image sequence of the monitoring video to obtain vehicle trajectory data, and perform mathematical statistics on the vehicle trajectory data of various vehicle types to obtain traffic flow data, and the vehicle types include large vehicles and small vehicles;

[0078] Radar microwave and geomagnetic coil data processing module 102, for extracting traffic flow data based on radar microwave data and geomagnetic coil data respectively;

[0079] The data fusion module 103 fuses any paramet...

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 relates to a full-dose full-sample real-time traffic data-based multi-parameter fusion method and system. The method comprises the steps of extracting moving vehicles on the basis of animage sequence of a monitor video so as to obtain vehicle trajectory data, and carrying out mathematical statistics on the vehicle trajectory data of each vehicle type to obtain traffic flow data; respectively extracting the traffic flow data on the basis of radar microwave data and earth coil data; and fusing any parameter, in the traffic flow data, respectively obtained by the vehicle trajectorydata, the radar microwave data and the earth coil data according to each set weight. For the characteristics such as diversity and complexity of multi-source heterogeneous information in the form, the data of three sources such as coil data, radar microwave data and road monitor video is processed, and a data mining technology and a data fusion technology are combined to construct a multi-mode information fusion model. On the basis of the effective fusion of the full-dose full-sample real-time traffic data, more useful and comprehensive traffic information can be obtained, so that the urban traffic problems can be better solved.

Description

technical field [0001] The invention relates to the technical field of road traffic simulation, in particular to a multi-parameter fusion method and system based on full-scale and full-sample real-time traffic data. Background technique [0002] With the rapid growth of car ownership, traffic congestion not only affects the lives of residents, but also becomes an "urban disease" that hinders the further development of the national economy. The root cause of road traffic congestion is the imbalance between traffic demand and traffic supply in time and space. [0003] At present, most of the traditional road traffic data applications are only for single data source data, and cannot obtain comprehensive and accurate road traffic status and traffic demand, so they cannot effectively solve the problem of road traffic congestion. With the continuous improvement of urban roads and supporting facilities, road monitoring facilities such as radar microwaves, road monitoring and geoma...

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): G08G1/01
CPCG08G1/0104G08G1/0125
Inventor 吴韵驰吴钢李琳李娜王方华范翠红李绘图王慧
Owner 吴钢
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