Method for distinguishing road black spot

A technology for road traffic and accidents, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of infeasible operation, inconsistent weight determination, lack of weights, etc., to solve the problem of non-uniform weight determination , Guaranteed accuracy and precision, based on sufficient results

Inactive Publication Date: 2013-01-02
CHANGAN UNIV
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0059] The object of the present invention is to overcome the defective that above-mentioned technology exists, provide the multiple location identification method of road traffic accident, make the identification method of multiple location of road safety traffic accident safer, more effective, this method lacks systematic research, weight value when calculating equivalent accident The difference is large and the operability of calculation is poor. The present invention is based on the classification of road traffic accidents by the Ministry of Public Security, based on the risk values ​​of traffic accident casualties and property damage, and establishes a new equivalent accident calculation model to solve the problem of existing calculation methods. Inconsistent value determination, difficult accident loss quantification, and infeasible operation

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
  • Method for distinguishing road black spot
  • Method for distinguishing road black spot
  • Method for distinguishing road black spot

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0098] Its specific implementation method is:

[0099] (1) Equivalent accident calculation model

[0100] According to the classification standard of road traffic accidents of the Ministry of Public Security:

[0101] ① Extraordinary accident: 3 or more people died, or 11 or more people were seriously injured, or 1 person died and 8 or more people were seriously injured at the same time, or 2 people died and 5 or more people were seriously injured at the same time.

[0102] (3+ε 1 )a=(11+ε 2 )b=1a+(8+ε 2 )b=2a+(5+ε 2 )b

[0103] In the formula: a, b—the number of deaths and serious injuries, the same below;

[0104] +ε 1、+ε 2 ——Indicates the above, the same below.

[0105] ②Major accident: 1 to 2 people die at one time, or more than 3 people and less than 10 people are seriously injured.

[0106] [1a~2a]=[(3+ε 2 )b~(10-ε 2 )b]

[0107] Where: -ε 2 — means the following.

[0108] ③ Ordinary accidents: causing 1 to 2 people at a time, or slightly injuring 3 or mor...

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 method for distinguishing a road black spot. An equivalent accident calculation model, a correction accident rate calculation model and a dynamic density method are built. The method comprises the following steps of: on the basis of the equivalent accident calculation model, dynamically segmenting a road by calculating a dynamic density, and obtaining segmented units; drawing an accumulation frequency curve by taking a unit dynamic density as a cross coordinate, and screening the segmented units by taking a corner of the curve or the dynamic density corresponding to a certain fractile quantile as an index to obtain a black spot unit; and combining and processing the black spot unit to obtain the road black spot. The method for distinguishing the road black spot is relatively safe and effective and is suitable for the technical field of road traffic safety.

Description

technical field [0001] The invention belongs to the technical field of road traffic safety, and relates to a method for identifying frequently occurring locations of road traffic accidents, in particular to a method for identifying frequently occurring locations of road traffic accidents based on a dynamic density-cumulative frequency curve. Background technique [0002] The occurrence of road traffic accidents may be very accidental, but when the accidents occur intensively at a certain position (point or road section) of the highway, the internal laws and reasons of the accidents here should be considered, and the focus should be studied. Such road sections are usually called accident-prone locations, also known as black spots and black sections, and are called Accident-Prone Locations or Black Spots abroad. Identification of accident-prone locations can help improve traffic safety. On the one hand, it is because the accidents are relatively concentrated and the accidents...

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): G06F19/00
Inventor 赵一飞杨伟
Owner CHANGAN UNIV
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