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Updated: Jul 13, 2025

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一个机器学习的方法,一个流动性政策提案的建议

Miljana Shulajkovska1, Maj Smerkol1, Erik Dovgan1

  • 1Jožef Stefan Institute, Jamova cesta 39, SI-1000 Ljubljana, Slovenia.

Heliyon
|October 16, 2023
PubMed
概括

在 URBANITE 项目中,开发了一个具有机器学习的智能城市模拟工具,以加快城市官员的政策测试. 这种人工智能驱动的框架有助于分析数据,识别趋势,并建议有效的交通政策,将排放量减少5%以上.

关键词:
机器学习 机器学习流动性政策 流动性政策智慧城市是智慧城市.

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