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Method for recognizing settlement parking spaces meeting social parking requirement on basis of open source data

A technology of data identification and parking spaces, which is applied in the field of parking matching, can solve the problems of neglect and incomplete utilization of parking resources, and achieve the effect of resource allocation

Active Publication Date: 2015-07-22
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above technical solutions ignore the search for potential residential areas of parking space information sources, and have not yet fully solved the problem of fully utilizing parking resources.

Method used

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  • Method for recognizing settlement parking spaces meeting social parking requirement on basis of open source data
  • Method for recognizing settlement parking spaces meeting social parking requirement on basis of open source data
  • Method for recognizing settlement parking spaces meeting social parking requirement on basis of open source data

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Experimental program
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Embodiment

[0086] Such as figure 1 As shown, in this embodiment, based on open source data, the method for identifying parking spaces in residential areas to match social parking needs includes the following steps:

[0087] (1) Prepare the working base map and divide the traffic area;

[0088] The present invention takes the boundary of the city (or region) as the working base map, superimposes the center line of the existing road network in CAD, and further divides the traffic area according to the technical standard.

[0089] Referring to the division standards of domestic and foreign traffic districts, the area of ​​traffic districts in the center of a city is generally 1-3 square kilometers, and the area of ​​traffic districts in urban fringe areas is 5-15 square kilometers. The nature of the land use. In this research method, each block is divided according to the actual situation. The area of ​​the traffic area in the local central built-up area can be taken as a smaller value acc...

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Abstract

The invention discloses a method for recognizing settlement parking spaces meeting the social parking requirement on the basis of open source data. The method includes the following steps of firstly, mining and arranging research data; secondly, conducting address analysis on employment data through the Baidu LBS open platform; thirdly, conducting primary judgment, wherein spatial positioning is conducted on data of all types in a traffic zone base map through a GIS, and row coordinate correction and collection are conducted on the data; fourthly, conducting secondary judgment, wherein potential districts meeting the job-house matching requirement are obtained by screening spatial units with the job-house ratios higher than a preset value and spatial units with the employee number distribution densities higher than the whole-region average density; fifthly, recognizing settlement parking space distribution meeting the social parking requirement and the coverage of the settlement parking space distribution. The potential matching districts of cities are recognized through the open source data, and therefore settlement parking spaces can meet the social parking requirement, the social cost spent when an information issuing party searches potential target settlements is saved, and the space resource optimization in the staggered parking process is assisted.

Description

technical field [0001] The invention relates to the research field of parking matching, in particular to a method for identifying parking spaces in residential areas to match social parking needs based on open source data, and saving social costs for information publishers to search for potential target residential areas. Background technique [0002] In the context of the increasing number of cars, high-density employment areas in cities generally face the problem of insufficient daytime parking spaces, while the relatively vacant parking spaces in residential communities during the daytime provide the possibility to alleviate the urban parking problem. The main problem of existing parking APPs is the lack of information sources for parking spaces. The supply and demand relationship between potential target communities and employment areas for daytime parking cannot be resolved, making it difficult for information publishers to search for potential target residential areas, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 段阳钟烨赵渺希郭振松李欣建梁景宇
Owner SOUTH CHINA UNIV OF TECH
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