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

Traffic state identification method based on binocular camera

A binocular camera, traffic state technology, applied in the direction of road vehicle traffic control system, traffic control system, traffic flow detection, etc. Effects of traffic congestion, socio-economic development, and improved mobility

Inactive Publication Date: 2019-12-24
JIANGSU GENTURE ELECTRONICS INFORMATION SERVICE CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of economy and society, transportation is also developing at a high speed, and the problem of urban traffic congestion is becoming more and more serious, which not only increases people's travel time, increases travel costs, but also causes large economic losses
Using road widening to solve the problem is costly and takes a long time, and there will be more and more vehicles, which cannot effectively solve the problem

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 state identification method based on binocular camera
  • Traffic state identification method based on binocular camera
  • Traffic state identification method based on binocular camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] see figure 1 , the method is based on the support of the traffic system management and control platform, including the following three steps:

[0035] (1), establish a reference database:

[0036] a. Determine the clustering center of the traffic state, and divide the traffic state into four traffic states: smooth traffic, mild traffic congestion, traffic congestion, and severe traffic congestion based on the "Urban Traffic Management Evaluation Index System". The two parameters use the fuzzy C-means clustering algorithm to divide the data, and determine the cluster center matrix P and the ambiguity weight m, where P is:

[0037]

[0038] (1) where: subscript v: normalized vehicle speed; subscript q: normalized vehicle flow, subscript 1: smooth traffic; subscript 2: mild traffic congestion; subscript 3: Traffic congestion...

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 state identification method based on a binocular camera, and belongs to the technical field of intelligent traffic guidance. The method comprises the following threesteps: (1) establishing a reference data a, determining a traffic state clustering center, and transmitting and storing a traffic state clustering center matrix to the information board of each traffic section through a traffic system management control platform, and b, setting a road background image, and sending the road background image to the information board of a corresponding traffic intersection through the traffic system management control platform; (2) calculating relevant parameters for determining a road traffic state: a, calculating a road space occupation rate S, and b, calculating two parameters of vehicle flow q and vehicle speed v; and (3) traffic state identification: judging to which traffic state each traffic section belongs through the two parameters of the vehicle flow q and the vehicle speed v of each traffic section by the information board, and issuing the two parameters. The method can provide real-time traffic conditions for travelers, and road resourcesare fully and reasonably utilized.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic guidance. Background technique [0002] With the rapid development of economy and society, transportation is also developing at a high speed, and the problem of urban traffic congestion is becoming more and more serious, which not only increases people's travel time and travel costs, but also causes large economic losses. Using road widening to solve the problem is costly and takes a long time, and there will be more and more vehicles, which cannot effectively solve the problem. How to take effective measures to fully and effectively use the existing road resources, relieve traffic pressure to the greatest extent, and promote social and economic development is an urgent problem to be solved at present. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a traffic state recognition method based on a binocular camera. This metho...

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): G08G1/01G08G1/017G08G1/054G08G1/065G06F16/2458G06F16/29G06K9/00G06K9/62G06Q50/26G06T7/13G06T7/254G06T7/269
CPCG08G1/0125G08G1/0175G08G1/054G08G1/065G06T7/13G06T7/254G06T7/269G06F16/2465G06F16/29G06Q50/26G06T2207/10021G06T2207/20224G06T2207/20164G06T2207/30232G06V20/54G06F18/23213
Inventor 丁华平朱荀钱文涛
Owner JIANGSU GENTURE ELECTRONICS INFORMATION SERVICE CO LTD
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