ai analysis of city changes...
TRANSCRIPT
19/11/2018
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AI Analysis of City Changes
同济大学智能规划协同创新中心
China Intelligent Urbanization Co-creation Center
iCity Group
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1. City Development Challenges and Artificial Intelligence
2. Analyzing and Classifying City Images with Deep Learning Methods(Work done at CIUC by iCity Group)
3. Examples
Outline
Challenges for Intelligent Cities: Activity Spheres
Energy and resource
infrastructure
Service and
attendance
Politics and
administration
Health
Education
Communication/IT
Human and
lifestyle
Urban Production
Nutrition
Environment
and climate
Transport and Logistics
Buildings and
living
Mobility
and traffic
City structure
Convergence of city
systems
Safety
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AI system capabilities are:
1.Reasoning, Problem Solving, Decision support
2.Knowledge Representation/Engineering
3.Learning/Big Data Analytics
4.Planning
5.Natural Language Processing
6.Perception – Pattern Recognition – Multimodal Interfaces
7.Motion and Manipulation/Robotics
8.Social Intelligence
9.Creativity
Artificial Intelligence Areas
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The overall research goal of Artificial Intelligence is to create technology
that allows computers and machines to function in an intelligent way.
AI system capabilities for Urban Planning are:
1.Reasoning, Problem Solving, Decision support
2.Knowledge Representation/Engineering
3.Learning/Big Data Analytics
4.Planning
5.Natural Language Processing
6.Perception – Pattern Recognition – Multimodal Interfaces
7.Motion and Manipulation/Robotics
8.Social Intelligence
9.Creativity
Artificial Intelligence Areas
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The overall research goal of Artificial Intelligence is to create technology
that allows computers and machines to function in an intelligent way.
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“Traditional” Software Systems
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Knowledge-based Artificial Intelligence Systems
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Learning Artificial Intelligence Systems
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1. City Development Challenges and Artificial Intelligence
2. Analyzing and Classifying City Images with Deep Learning Methods(Work done at CIUC by iCity Group)
3. Examples
Outline
City Tree“城市树”
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City Trees for 13810 world cities have been diagrammed by 2018 Jan 18至2018年已绘制13810个城市的城市树
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Full coverage of 13810 independent built areas in the world
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China
Brazil
Argentina
UK
Germany
France
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Matured成熟型
1900
Declining衰退型
201
Spouting萌芽型
435
Regional区域型
143
Rickets佝偻型
3601
Steady 成长型
2365
Rapid 发育型
831
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7种类型的城市分布
Yangtze River Delta region
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� 苏州、上海、无锡、常州、南通 城镇群集聚历程Urban Agglomeration Process
1. City Development Challenges and Artificial Intelligence
2. Analyzing and Classifying City Images with Deep Learning Methods(Work done at CIUC by iCity Group)
3. Examples
Outline
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长三角城市群 京津冀城市群
Beijing, Tianjin and Hebei city clusterYangtze River Delta city cluster
长江中游城市群 粤港澳湾区Middle Yangtze River City Cluster Guangdong, Hong Kong and Macao Bay Area
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美国西海岸 美国东海岸U.S. West Coast U.S. East Coast
东京湾五大湖U.S. The Great Lakes region Tokyo Bay Area