A method for predicting the efficiency gain of the road network after the broken road is opened up

A prediction method and technology of dead end roads, applied in prediction, data processing applications, geometric CAD, etc., can solve the problem that the efficiency gain is affected by the scale of the road network, and achieve the goal of avoiding road participation in calculations, reducing the amount of calculation, and avoiding impact Effect

Active Publication Date: 2022-08-05
WUHAN UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention solves the problem in the prior art that the efficiency gain of the road network is affected by the scale of the road network after the dead end road is opened by providing a method for predicting the efficiency gain of the road network after the dead end road is opened.

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
  • A method for predicting the efficiency gain of the road network after the broken road is opened up
  • A method for predicting the efficiency gain of the road network after the broken road is opened up
  • A method for predicting the efficiency gain of the road network after the broken road is opened up

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to better understand the above technical solutions, the above technical solutions will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] like figure 1 As shown, the embodiment of the present invention provides a method for predicting the efficiency gain of a road network after a broken road is opened, which solves the problem that the efficiency gain of the road network is affected by the scale of the road network in the prior art by opening a road section, and includes the following steps:

[0058] Step 1. Preprocessing of road network vector data. The preprocessing of road network vector data includes eliminating topology errors, converting road segments into graph data structures represented by head and tail nodes and edges, etc., and eliminating the influence of data topology errors on subsequent results. , which is converted into a graph data structure that adapts to the algorithm, which is convenie...

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 provides a method for predicting the efficiency gain of a road network after the broken road is opened, which includes preprocessing of the road network vector data; extracting the broken road according to the road network; dividing the road network into several sub-communities; Match the sub-communities; simulate the equilibrium state of the traffic distribution in the sub-community before and after the opening of a single group of dead-end roads; calculate the gain index of the dead-end roads according to the balance state of the road network before and after the opening; The efficiency gain prediction of the road network is achieved until all the dead-end road groups are opened up. The invention automatically divides the road network into sub-communities to calculate the gain after the broken road is opened up, so as to avoid the influence brought by the scale of the road network; and by constraining the OD requirements, effectively pay attention to the road network nodes that are prone to cascading failures; By constraining the gain statistical unit to be the road with the equivalent of vehicles passing through, it avoids the road without traffic to participate in the calculation, and can effectively and reasonably measure the gain of the road network efficiency by opening the dead road.

Description

technical field [0001] The invention relates to the field of traffic road network optimization evaluation methods, in particular to a road network efficiency gain prediction method after a broken road is opened. Background technique [0002] As the urban development model shifts from "incremental" to "stock", there is not enough space for large-scale "expansion and reconstruction" of roads, opening up existing dead ends to improve the microcirculation of the road network and update urban planning. . As one of the contents of urban road engineering, it is necessary to use a reasonable and intelligent method to automatically quantify and evaluate the benefits of opening up the broken road, and apply it to practical optimization applications. [0003] To predict the gain brought by the open road, the traditional method is to calculate the change of the shortest travel path after the network is improved. When calculating changes in the efficiency of a road network, it is commo...

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 Patents(China)
IPC IPC(8): G06F30/18G06Q10/04G06Q50/26
CPCG06F30/18G06Q10/047G06Q50/26
Inventor 王艳东何伟涛赵剑姚雪东
Owner WUHAN 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