Introduction
Deep learning solutions for smart city challenges in urban development | Scientific Reports When is digital world urbanization is developing more efficiently and building infrastructure and management of city it was made of big challenge. For addressing that challenge the new concept is introduces is known as smart cities, which is have a major role of an artificial intelligence AI. With the use of artificial intelligence AI and advanced technology it is it is made cities more efficiently, sustainable and livable to us.
Smart cities it not like vision use a technology for optimizing infrastructure and governance, which can made easy life for the humans. Here I will be doing Data analytics automation and predictive modelling like tools which is in work in the areas like traffic management energy efficiency public safety and waste management it is the area where it is more helpful.
Role of AI in urban planning
AI in an urban planning it have multiple ways to develop. It has a different analysis and data sources where all is information was collected, and it can provide the real time solutions which can be helpful for the governance and city management.
1.Traffic management and smart transportation
Traffic jam is a big issue in some big cities. AI best traffic management system can analysis the real time data and optimize their signal timings. Which can improve the traffic flow. It can be anything like in a traffic lights others and sensor components. If that components should be the AI, then it can be performed more efficiently and accurately. AI power cameras and sensors can detect traffic density and adjust the automated traffic signals. Accident prawns’ areas can be identified with the use of productive analytics, and it take timely actions. It can enhance the urban mobility system smart transportation like driverless metro AI powered root optimization and smart parking solutions.
2.Energy efficiency and smart grids
Yeah, I can help in the energy distribution and consumption patterns which is get analytics by AI and made smart grids more efficient. AI unbaled smart meters can reduce the electricity consumption prediction and energy wastage. Smart lighting systems uses the AI algorithms to consumptions of unnecessary electricity. A I can help to efficiently integrate renewable energy sources like solar and wind powers.
3.Waste management and sustainability
Sustainability is one of the important factor concepts for the smart cities it can be optimize the waste collection and recycling process by the AI which can be helpful for the efficiency and their sustainability. Iott enable optimize is the collection scheduling and monitors the smart winds West levels monitoring. The pollution and West generation trends can be analysis by the use of the predictive analytics it is more useful because of it can contained and manage the wastage and the pollutions in the smart cities’ areas.
4.Public safety and security
AI industries also providing help in the improving role of crime prevention and public safety it is important factor for the public safety. Suspicious activities can be detected by the use of facial recognition and behavior analysis it is important because some of the crimes are mainly can be detected by their facial behaviors. Air powered surveillance systems can be helpful for the crowd control and emergency response in the crime hotspot can be identified by the predicting polishing AI models.
Table of Contents
AI and smart cities challenges
There are some challenges we are facing AI and smart cities in their evolutional tools which can made difficult to the implementation
1.Data privacy and security concern
In the smart cities AI can collect the real time data which can rise the privacy concern in the smart cities. It can also recognized the excessive use of their facial and make privacy violet and important factor is surveillance systems.
2.High implementation cost
It can you have mostly caused in the cities because AIB Smart City solution have a more difficulty to implementation in the countries which are developing phase. One of the big burdens for the financial is set up in the infrastructure development IIT devices and AI algorithms in the main components systems.
3.Technical limitation add maintenance
Models are enough to advanced but somewhere it can have regularly update and maintain their data is mandatory for the AI models. If the system has outdated data in their servers or system, then it can be the mauver functions which can be completely disturb infrastructure.
Conclusion
AI can transform the urban planning and smart cities where the cities have a capability more livable efficient and sustainable. Yeah, it will be a game changer in every sector from traffic management to West disposal I can do anything in their sectors. Have a birthday privacy concern implementation is more costly and with respectively workshop displacement is more challenging.