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

Robustness determining method and system for road network dual model

A technology of dual model and determination method, applied in the field of robust analysis, can solve the problems of insufficient comprehensiveness and low accuracy of results, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-07-06
SHENYANG JIANZHU UNIVERSITY
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The road network robustness analysis method in the prior art builds a road network model based on the road name, and studies the operation of the overall road network when a certain road section collapses. As a complex network, the road network has a certain internal structure. Spatial heterogeneity, the robustness analysis method of establishing the original mapping model as a sample model based on the scale of road names is not comprehensive enough. In the actual traffic network, there are many reasons for the collapse of the road network, for example, due to Local congestion caused by traffic accidents, or the closure of a certain road section due to road construction, or local collapse caused by natural disasters and man-made disasters, the robust analysis method using a single scale to establish the original mapping model as a sample model cannot fully meet the actual interference situation, leading to low accuracy of the analysis results

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
  • Robustness determining method and system for road network dual model
  • Robustness determining method and system for road network dual model
  • Robustness determining method and system for road network dual model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042]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.

[0043] The object of the present invention is to provide a method and system for determining the robustness of road network dual models based on multi-spatial scales, which can improve the accuracy of robustness calculation results.

[0044] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and spec...

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 robustness determining method and system for a road network dual model. The method includes the following steps that: the road names, road segments and association gatheringareas of all roads are obtained; with the road names adopted as road name nodes, a road name spatial scale model is obtained; with the road segments adopted as road segment nodes, a road segment spatial scale model is obtained; with the association gathering areas adopted as association nodes, an association spatial scale model is obtained; an attack road name spatial scale model, an attack road segment spatial scale model and an attack association spatial scale model are obtained by means of attack; a maximum connected subgraph relative value, a connection efficiency relative value, and a lapnumber rate are calculated, and a robustness evaluation index value is calculated; and the robustness of roads in a study area is determined according to the robustness evaluation index value. According to the robustness determining method and system of the invention, the robustness of the roads is analyzed through multiple spatial scales, and the accuracy of road robustness analysis is improved.

Description

technical field [0001] The invention relates to the field of robustness analysis, in particular to a method and system for determining the robustness of a road network dual model. Background technique [0002] As an important channel for transmission and trade in the transportation system, the road network is also the structural framework for building the overall network of the city. With the rapid development of the city, within the limited growth space of the city, the layout of the internal structure of the road network is not reasonable enough. The increasing traffic flow and the influence of natural and human factors make the traffic load tend to be saturated, resulting in a series of problems. Traffic problems. [0003] The internal structure of the road network determines its operating efficiency to a large extent. Robustness analysis is a network dynamics that measures the tolerance of the environment when urban traffic is subject to internal or external disturbance...

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): G08G1/01G06F17/30
Inventor 李孟歆韩净宜张锐韩忠华
Owner SHENYANG JIANZHU UNIVERSITY
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