We apply the knowledge of urban settings established with the study of Land Use and Transport Interaction (LUTI) models to develop reward functions for an agent-based system capable of planning realistic artificial cities. The system aims to replicate in the micro scale the main components of real settlements, such as zoning and accessibility in a road network. Moreover, we propose a novel representation for the agent's environment that efficiently combines the road graph with a discrete model for the land. Our system starts from an empty map consisting only of the road network graph, and the agent incrementally expands it by building new sites while distinguishing land uses between residential, commercial, industrial, and recreational.

翻译：我们运用通过研究土地使用和运输相互作用(LUTI)模式而建立的城市环境知识,为能够规划现实的人工城市的代理系统开发奖励功能,该系统旨在微观地复制实际住区的主要组成部分,例如道路网络中的分区和无障碍环境;此外,我们提议为代理环境提供一个新的代表,有效地将道路图与土地离散模型结合起来;我们的系统从一个只包含道路网络图的空图开始,代理系统通过建造新场地,同时区分住宅、商业、工业和娱乐之间的土地使用,逐步扩大它。