A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Empowering Smart Cities: AI-Driven Solutions for Urban Computing
https://orcid.org/https://orcid.org/0000-0001-9975-6462
Artificial intelligence gives urban designers and planners the tools they need to develop flexible urban landscapes with the use of real-time data-supported methodologies. Artificial intelligence (AI) real-time data can help to fully integrate sustainable practices into the urban environment. Due to flawed computations and information research tools, this enormous volume of information is exhausted without differentiating possible lessons. Urban planners can use AI to help them choose routes that will improve traffic management, provide equitable public transportation, and have smarter utilities. An innovative and flexible learning framework for smart cities is explored with the aim of adding a new dimension to educational conversations. The multilevel nature of the massive amounts of data generated by smart cities is capitalized on by this design. With the application of AI, city planners may design more responsive and efficient “smart cities” for their constituents. This chapter covers the foundational AI architecture for urban computing applications, as well as current research on urban deep learning and machine learning.
Empowering Smart Cities: AI-Driven Solutions for Urban Computing
https://orcid.org/https://orcid.org/0000-0001-9975-6462
Artificial intelligence gives urban designers and planners the tools they need to develop flexible urban landscapes with the use of real-time data-supported methodologies. Artificial intelligence (AI) real-time data can help to fully integrate sustainable practices into the urban environment. Due to flawed computations and information research tools, this enormous volume of information is exhausted without differentiating possible lessons. Urban planners can use AI to help them choose routes that will improve traffic management, provide equitable public transportation, and have smarter utilities. An innovative and flexible learning framework for smart cities is explored with the aim of adding a new dimension to educational conversations. The multilevel nature of the massive amounts of data generated by smart cities is capitalized on by this design. With the application of AI, city planners may design more responsive and efficient “smart cities” for their constituents. This chapter covers the foundational AI architecture for urban computing applications, as well as current research on urban deep learning and machine learning.
Empowering Smart Cities: AI-Driven Solutions for Urban Computing
https://orcid.org/https://orcid.org/0000-0001-9975-6462
Artificial intelligence gives urban designers and planners the tools they need to develop flexible urban landscapes with the use of real-time data-supported methodologies. Artificial intelligence (AI) real-time data can help to fully integrate sustainable practices into the urban environment. Due to flawed computations and information research tools, this enormous volume of information is exhausted without differentiating possible lessons. Urban planners can use AI to help them choose routes that will improve traffic management, provide equitable public transportation, and have smarter utilities. An innovative and flexible learning framework for smart cities is explored with the aim of adding a new dimension to educational conversations. The multilevel nature of the massive amounts of data generated by smart cities is capitalized on by this design. With the application of AI, city planners may design more responsive and efficient “smart cities” for their constituents. This chapter covers the foundational AI architecture for urban computing applications, as well as current research on urban deep learning and machine learning.
Empowering Smart Cities: AI-Driven Solutions for Urban Computing
EAI/Springer Innovations in Communication and Computing
Haldorai, Anandakumar (author) / R, Babitha Lincy (author) / Murugan, Suriya (author) / Balakrishnan, Minu (author)
2024-04-13
12 pages
Article/Chapter (Book)
Electronic Resource
English
Urban Computing: The Technological Framework for Smart Cities
| Springer Verlag | 2021