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Title:
ARTIFICIAL INTELLIGENCE-BASED URBAN ROAD NETWORK AUTOMATIC GENERATION METHOD
Document Type and Number:
WIPO Patent Application WO/2022/047958
Kind Code:
A1
Abstract:
An artificial intelligence-based urban road network automatic generation method comprising a data acquisition and input module, a machine learning module, a rule base construction module, a scheme set generation module, and a human-machine interaction display module. Said method also comprises constructing an anchor point distribution module by means of machine learning, distributing anchor points within a planning range having secondary roads as boundaries, generating a road centerline layout scheme set by means of a rectangular dilation method, selecting an acceptable scheme set on the basis of a rule base formed via conversion of urban planning road-related standards, and further automatically generating a road network scheme set, and lastly outputting a scheme to a two-dimensional interactive display device and performing simulation and display. Using machine learning and rules in the field of urban planning to jointly drive achieve of road network design, a simple and effective automatic generation method for an urban road network is provided, which is able to generate multiple schemes within a short period of time, and provides a highly effective and observable reference for artificial intelligence urban planning design implementation.

Inventors:
YANG JUNYAN (CN)
XIA GEYANG (CN)
ZHU XIAO (CN)
SHI BEIXIANG (CN)
ZHANG ZHENGCHENG (CN)
YANG XIAOFANG (CN)
Application Number:
PCT/CN2020/124318
Publication Date:
March 10, 2022
Filing Date:
October 28, 2020
Export Citation:
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Assignee:
UNIV SOUTHEAST (CN)
International Classes:
G06F30/18
Foreign References:
CN109472390A2019-03-15
CN102175256A2011-09-07
CN101640001A2010-02-03
CN106096798A2016-11-09
US8384776B22013-02-26
Attorney, Agent or Firm:
BEIJING TONGHUI INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP) (CN)
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