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.