Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Road traffic safety management system based on big data

A road traffic and safety management technology, applied in the traffic control system of road vehicles, traffic control system, transmission system, etc., which can solve problems such as collisions, casualties, vehicles, and non-reduction

Active Publication Date: 2020-06-19
SHANGHAI JUNMA TRAFFIC TECH
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Red light means prohibition of passage, green light means permission to pass, and yellow light means warning. At traffic intersections, general red light only restricts the passage of vehicles going straight or turning left, and there is almost no restriction on vehicles turning right. Turning vehicles can still pass, but when turning right, the driver's sight is affected by vehicles staying in the straight lane and left-turning lane, which can easily cause right-turning vehicles to collide with pedestrians, bicycles and electric vehicles on the sidewalk when passing the sidewalk. Cause casualties and damage to vehicles. At present, it is impossible to comprehensively analyze the dangerous situation of vehicles on the right-turn lane when passing through pedestrian crossings according to the actual situation of traffic intersections. Traffic accidents at traffic intersections, now design a road traffic safety management system based on big data

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
  • Road traffic safety management system based on big data
  • Road traffic safety management system based on big data
  • Road traffic safety management system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] 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 creative efforts fall within the protection scope of the present invention.

[0046] see figure 1 As shown, a road traffic safety management system based on big data includes a road image acquisition module, an image preprocessing module, a feature category extraction module, a feature category matching module, a road storage data module, a data transfer analysis module, a vehicle detection module, Vehicle speed optimization analysis module, management cloud server and traffic obstruction module.

[0047] The image preprocessing module is r...

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 road traffic safety management system based on big data. The road traffic safety management system comprises a road image acquisition module, an image preprocessing module, afeature type extraction module, a feature type matching module, a road storage data module, a data transfer analysis module, a vehicle detection module, a vehicle speed optimization analysis module,a management cloud server and a traffic obstruction module. According to the invention, the driving speed of a vehicle on the right-turn lane is analyzed through the vehicle detection module and the vehicle speed optimization analysis module; analysis of vehicle speed, a road image acquisition module, a feature type extraction module, a feature type matching module, a data transfer analysis moduleand a management cloud server are combined; according to the method, the driving comprehensive risk assessment coefficient of the vehicle in the right-turn process is comprehensively analyzed, the risk degree of the vehicle passing through the pedestrian crosswalk according to the current vehicle speed can be visually predicted, the prediction accuracy is high, early control and early warning reminding are facilitated, and traffic accidents are reduced.

Description

technical field [0001] The invention belongs to the technical field of road traffic management, and relates to a road traffic safety management system based on big data. Background technique [0002] Traffic lights are composed of red lights, green lights, and yellow lights. Red light means prohibition of passage, green light means permission to pass, and yellow light means warning. At traffic intersections, general red light only restricts the passage of vehicles going straight or turning left, and there is almost no restriction on vehicles turning right. Turning vehicles can still pass, but when turning right, the driver's sight is affected by vehicles staying in the straight lane and left-turning lane, which can easily cause right-turning vehicles to collide with pedestrians, bicycles and electric vehicles on the sidewalk when passing the sidewalk. Cause casualties and damage to vehicles. At present, it is impossible to comprehensively analyze the dangerous situation of ...

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): G08G1/01G08G1/052G06K9/54G06K9/46H04L29/08
CPCG08G1/0104G08G1/052H04L67/10G06V10/40G06V10/20Y02T10/40
Inventor 王利梅
Owner SHANGHAI JUNMA TRAFFIC TECH
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
Eureka Blog
Learn More
PatSnap group products