自动化城市景观设计:基于情感的布局生成和评估的AI驱动模型
1Department of Visual Communication Design, Tongmyong University, Busan, Republic of South Korea.
PeerJ. Computer science
|December 9, 2024
概括
本研究介绍了一种人工智能驱动的城市设计模型 (URDDL),可以自动生成景观布局. 该模型分析土地使用和道路状况,以预测情绪反应,优于传统方法.
科学领域:
- 城市规划和景观建筑,城市规划和景观建筑.
- 设计中的人工智能.
- 深度学习应用程序深度学习应用程序
背景情况:
- 城市景观设计显著影响城市的发展.
- 人工智能 (AI) 在各种应用中提供了增强的便利性.
- 需要自动化设计工具来提高城市规划效率.
研究的目的:
- 提出一个人工智能驱动的城市景观布局模型 (URDDL),用于自动化设计生成.
- 将情感倾向和城市景观评估纳入设计过程.
- 与传统设计方法相比,评估模型的有效性.
主要方法:
- 开发了一个使用Pix2Pix架构的深度学习模型 (URDDL).
- 输入数据包括土地使用和道路状况;输出指定入口和内部空间布局.
- 构建了一个特定领域的情感词典,用于情感分析 (刺激,感觉,行动).
主要成果:
- URDDL模型的绝对平均误差为91.31%,最大误差为96.87%.
- 该模型在预测对城市景观的情感反应方面具有很高的适应性.
- 与传统设计方法相比,生成的设计显示出更高的性能.
结论:
- URDDL模型为自动化城市景观设计提供了一种新的方法.
- 人工智能驱动的情感评估提高了产生的设计的相关性和质量.
- 该模型显示了智能城市开发和景观建筑的未来应用的巨大潜力.
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