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

Real-time monitoring method for road section state of high road

A fast road and state technology, which is applied to the traffic control system of road vehicles, traffic flow detection, instruments, etc., to achieve the effect of simple and easy processing and real-time identification of accident-prone sections.

Active Publication Date: 2012-02-22
SOUTHEAST UNIV
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention proposes a method for extracting the "dangerous" traffic flow state of an expressway, and applies the method to the real-time identification of the accident-risk sections of the expressway, by detecting the traffic flow state of each detection point on the expressway, and identifying the accident risk in real time Road sections, so as to solve the defect that the existing accident black spot identification method is difficult to identify dangerous road sections in a short time

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
  • Real-time monitoring method for road section state of high road
  • Real-time monitoring method for road section state of high road
  • Real-time monitoring method for road section state of high road

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention uses K-means clustering, Logistic regression and QUEST decision tree models for real-time monitoring of accident-prone road sections, a real-time monitoring method for fast road accident-risk sections, comprising the following steps:

[0019] 1) Set up a traffic flow detection point every 800 meters on the expressway, collect the accident data of the expressway to be inspected, and establish the location of each traffic accident, so as to determine the traffic flow detection point closest to the location of the traffic accident Point, extract the traffic data of the detection point within half an hour before the accident, including traffic flow rate and speed, and the sampling accuracy is once every 5 minutes;

[0020] 2) For each traffic accident, the case-control study method is used to select the traffic occupancy rate data under the normal traffic flow state of the accident road section, that is, when there is no accident, according to the ratio...

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 real-time monitoring method for a road section state of a high road. The method comprises the following steps of: arranging traffic flow detecting points on the high road to be detected, and spacing the detecting points by 800m, wherein each detecting point covers 400m of upstream road sections and 400m of downstream road sections; acquiring historical traffic flow dataand accident data; extracting dangerous traffic flow operation states by using clustering analysis and regression analysis; and giving a method for monitoring and identifying the traffic flow operation states by using a decision tree approach. The method is easy to process and operate and is favorable for real-time identification of high road accident 'black spots'. The real-time monitoring method has practical engineering utilization value of monitoring accident dangerous road sections of the high road in real time.

Description

technical field [0001] The invention belongs to the technical field of traffic intelligent management and control, and is a real-time monitoring method for the state of expressway sections, which can identify in real time the sections with traffic accident risks on the expressway. Background technique [0002] With the deepening of reform and the continuous deepening of urbanization and motorization, since the mid-1980s, my country's transportation industry has developed rapidly, the road network structure has been continuously improved, and the conditions of transportation infrastructure have been continuously improved. The demand for transportation is increasing rapidly. However, the uncoordinated growth rate of vehicles and roads and improper management methods have also brought serious traffic safety problems. In this context, road traffic safety has become a hot issue that has attracted more and more attention. Improving the level of traffic safety management in our cou...

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): G08G1/01G08G1/065
Inventor 刘攀徐铖铖王炜
Owner SOUTHEAST UNIV
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