Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations

Smart Cities And Artificial Intelligence Offers A Comprehensive View Of How Cities Are Evolving As Smart Ecosystems Through The Convergence Of Technologies Incorporating Machine Learning And Neural Network Capabilities, Geospatial Intelligence, Data Analytics & Visualization, Sensors, And Smart Connected Objects To Name A Few. These Recent Advances In Ai Move Us Closer To Developing Operating Systems That Simulate Human, Machine, And Environmental Patterns From Transportation Infrastructure To Communication Networks. Understanding Cities As Real-time, Living, Dynamic Systems Coupled With New Tools Including Generative Design Allows Readers To Plan, Manage, And Optimize City Operations, Making Cities More Efficient And Sustainable With The Ultimate Goal Of Becoming Self-regulating. Smart Cities And Artificial Intelligence Provides A Transdisciplinary, Integrated Approach, Using Theoretical And Applied Insights To Examine How The Digital And Physical Worlds Are Converging And How A New Combination Of Human And Machine Intelligence Is Capable Of Transforming The Experience Of The Urban Environment. It Provides A Fresh Holistic Perspective On Smart Cities Through An Interconnect Stream Of Theory, Methodology, System Architecture, And The Application Of Smart City Functions To Define An Integrated Process Of The Design, Planning, And Implementation Of Smart Cities.