公开(公告)号：US20220309203A1

公开(公告)日：2022-09-29

申请号：US17616293

申请日：2020-10-28

Applicant: SOUTHEAST UNIVERSITY

Inventor： Junyan YANG ,  Geyang XIA ,  Xiao ZHU ,  Beixiang SHI ,  Zhengcheng ZHANG ,  Xiaofang YANG

IPC: G06F30/13 ,  G06N3/08 ,  G06N3/04 ,  G06F30/27 ,  G06Q50/26

Abstract: The present invention discloses an artificial intelligence (AI)-based automatic generation method for an urban road network. According to the method, an anchor point distribution model is constructed by means of machine learning. Anchor points are distributed within a planning range where a boundary is a secondary trunk road. A road center line layout scheme set is generated by means of rectangular expansion. A feasible scheme set is screened out based on a rule base translated from specifications related to urban planning road, a road network scheme set is further automatically generated, and finally, a scheme is outputted to a two-dimensional interaction display device for simulated display. The present invention realizes a road network design by using a combination of machine learning and rules of the urban planning field. The present invention provides a simple and efficient automatic generation method for an urban road network. By means of the present invention, a plurality of schemes can be generated within a short time, which provide an efficient and visualized reference for the design and the practice of AI urban planning.