Expressway road network safety situation analysis system and method based on AI video analysis

A technology of expressway and safety situation, which is applied in CCTV systems, traffic control systems of road vehicles, traffic control systems, etc., can solve the problems of incomplete monitoring, poor detection accuracy of road network congestion, and easy occurrence of dead ends, etc., and achieve improvement. Layout, identification efficiency and identification performance breakthrough, the effect of improving management efficiency

Pending Publication Date: 2021-05-14
中交安科(南京)技术有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing highway road network video surveillance is prone to blind spots, and the monitoring is not comprehensive; at the same time, the accuracy of road network congestion detection is poor.

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
  • Expressway road network safety situation analysis system and method based on AI video analysis
  • Expressway road network safety situation analysis system and method based on AI video analysis
  • Expressway road network safety situation analysis system and method based on AI video analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.

[0059] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0060] Such as figure 1 Shown, the highway road network security situation analysis method based on AI video analysis provided by the present invention comprises the following steps:

[0061] S101, using a camera to monitor the road condition video of the highway through the road network video monitoring module; using the traffic monitoring device to detect the driving traffic data of the highway through the road network traffic detection module; ;

[0062] S102, the central control module performs a layout optimization operation on the expressway surveillance cameras through the surveillance layout optimization module;

[0063] S...

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 belongs to the technical field of expressway road network safety situation analysis, and discloses an expressway road network safety situation analysis system and method based on AI video analysis. The expressway road network safety situation analysis system based on AI video analysis comprises a road network video monitoring module, a road network flow detection module, a driving speed detection module, a central control module, a monitoring layout optimization module, a video identification module, a road network congestion monitoring module, a traffic efficiency calculation module, a safety evaluation module and a display module. According to the invention, monitoring without dead angles is realized through the monitoring layout optimization module; meanwhile, the automatic sensing, comprehensive sensing and accurate sensing of various traffic jams can be realized through the road network congestion monitoring module. Compared with a traditional mode traffic jam recognition technology, the method has great breakthrough in recognition accuracy, recognition efficiency and recognition performance.

Description

technical field [0001] The invention belongs to the technical field of expressway road network safety situation analysis, and in particular relates to a system and method for expressway road network safety situation analysis based on AI video analysis. Background technique [0002] Expressways adapt to the development of industrialization and urbanization. Cities are places where industries and populations gather, and their automobiles grow much faster than those in rural areas. They have become automobile agglomeration centers. The construction of expressways mostly starts from urban ring roads, radiation roads and heavy traffic sections, and gradually becomes an urban traffic center with expressways as the backbone. . The development of automobile technology puts forward objective requirements for expressway construction. Automobiles have become an important means of transportation in human society. Infrastructure such as highways can meet the two major development trend...

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): G08G1/01G08G1/052H04N7/18
CPCG08G1/0104G08G1/052H04N7/18
Inventor 杨树乾刘正平
Owner 中交安科(南京)技术有限公司
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