Intersection blind area early warning control method and system based on roadside crowd-sourcing calculation

A control method and computing system technology, applied in the traffic control system of road vehicles, traffic control system, traffic signal control, etc., can solve the problems of prone to traffic accidents and difficult to see each other, so as to reduce the possibility and reduce driving time, to ensure comprehensive results

Inactive Publication Date: 2022-03-08
新唐信通(浙江)科技有限公司
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the increasing number of buildings at present, in urban areas, villages and towns, road intersections, laneways, gates, etc., due to the occlusion of buildings, vehicle drivers or pedestrians are in blind spots, and it is difficult for both parties to see each other. traffic accident

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
  • Intersection blind area early warning control method and system based on roadside crowd-sourcing calculation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "both ends", "one end", "another end" The orientation or positional relationship indicated by etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that ...

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 an intersection blind area early warning control method and system based on roadside crowd-sourcing calculation. The system comprises data acquisition, information analysis, track prediction, an early warning module and road condition transmission, motor vehicle information is acquired through a crowd-sourcing calculation system, and meanwhile, pedestrians and non-motor vehicles are maintained and analyzed after being displayed and recorded; each intersection is collected, data comprehensiveness is guaranteed, traffic accidents caused by blind areas of the intersections are avoided, display tracks of pedestrians and vehicles are predicted according to the collected information, prediction results are displayed at the two ends of the zebra crossing through the warning lamps, the pedestrians are reminded when the vehicles pass by, meanwhile, the signal lamps flicker at high frequency, and traffic accidents are avoided. And the information processing module processes the information and then transmits the road conditions to the crowd-sourcing computing system in the vehicle, so that the driver can receive the road condition information of different intersections in real time, avoid traffic jam intersections in time and reduce the driving time.

Description

technical field [0001] The invention relates to the technical field of traffic early warning, in particular to a method and system for early warning control of blind spots at intersections based on roadside group intelligence calculation. Background technique [0002] As a new computing model, crowd intelligence computing has been widely popularized with the popularity of wireless mobile terminals, especially smart phones. Various sensors integrated in mobile devices are playing an increasingly important role in the process of collecting data, which also makes human behavior data ubiquitous. At the same time, the rapid development of the World Wide Web has also provided a technical basis for swarm intelligence computing, and the practical applications based on this technology are abundant. For example: Using the mode of crowd intelligence computing, netizens digitized and archived nearly 130 years of The New York Times, which would have required huge time and human resource...

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): G08G1/01G08G1/07G08G1/052G08B5/38G08G1/0962
CPCG08G1/0104G08G1/07G08G1/052G08B5/38G08G1/0962
Inventor 刘君李静林
Owner 新唐信通(浙江)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap