Smart cities are cities that use different types of electronic IoT to collect data and then use that data to manage assets and resources effectively. Pune is a smart city located in India; Citizens living in Pune do not have to rely on traditional forms of communication with their local utilities and service agencies. This has removed the pain of traveling to local government departments and has completely eliminated the need for long queues and registration processes. Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to help these processes.
Here are a few ways we can use AI to make cities smarter:
First chat bots has proven to be very useful in public sector navigation, leading to simple and effective workflows. Each smart city is designed to solve a specific problem, and therefore each smart city has different missions and goals. In connection with India, a mission was launched to develop and establish 100 smart cities to create a sustainable environment and infrastructure for its residents. It is not physically possible for human agents to deal with a large number of issues. There is clearly a disconnect between the population and the local body in many cities. In this case, automation can solve some of the common daily barriers.
Artificial intelligence can be used to understand daily communication patterns. Between phone calls and chat, there has been a tendency for consumers and customers to prefer chatbots. Even popular retail brands have started using AI chatbots as part of their conversation marketing efforts to give their customers a personalized experience. This not only contributes to customer retention, but is more likely to convert a survey into a deal.
2nd Adaptive traffic signals has been used in cities such as Los Angeles, San Antonio and Pittsburgh. These technologies use real-time data to change traffic light timers to adjust traffic flow. This has improved travel times for city residents by 10 percent and in some areas with outdated traffic signals by 50 percent. Better traffic flow not only makes driving safer and more comfortable, but can also have enormous financial impact. The Texas Transportation Institute has estimated the cost of traffic jams at $ 87.2 billion in wasted fuel and lost productivity.
City traffic can certainly affect how our lives are improved. Better traffic flow and sensors could improve public transport such as taxis, Uber, Lifts and buses. This will directly affect the affordability of these app-based taxi services, which tend to get surge rates based on traffic conditions and taxi availability. The Massachusetts Bay Transportation Authority and others use real-time information to make accurate arrival time forecasts available to the public. This is a game changer and something only smart cities can pull off!
Third Monitoring and security is going to play an important factor in smart cities in the future. Nvidia predicts that there will be approx. 1 billion security cameras used around the world by 2020. While the location of security cameras has sparked a debate about privacy and a militarized state, the presence of cameras has also enhanced public safety, reduced crime rates, and prisoners terrorists. Unfortunately, the number of cameras will produce far more data than human operators will be able to control. Machine learning and artificial intelligence will help improve face recognition, tracking and other aspects of security detection.
Government offices are now developing funds to train AI systems to identify specific objects and activities in imagery. Real-time monitoring of multiple video feeds is being researched through a Deep Intermodal Video Analytics project run by Intelligence Advanced Research Projects Activity. Nvidia is also developing one metropolitan platform designed to use deep learning AI to assist with analysis.
4th Water and electricity are important resources to manage in a smart city. AI can be utilized to streamline power and water consumption. Google claims AI has cut power demand in its data centers by 40 percent. Cities are now using smart grids to better manage power. Solar-powered microgrids can be used at airports as illustrated by the city of Chattanooga in Tennesee. AI is also used for water metering to slow down excess water and find leaks.
5th Public safety can be completely revolutionized if law enforcement uses predictive modeling and AI frameworks to drive control against criminal databases. License plate reader technology can also be used by police to find stolen cars and identify expired records. There are, of course, privacy concerns when predictable police systems are used; no one wants a science fiction police state like the Steven Speilberg movie: Minority Report! Much work needs to be done before these technologies can be effectively used by the public.
There is tremendous potential for AI to change the lives of residents in smart cities. The United States and China have already used most of these technologies in various states and cities. It will only be a matter of time before other countries adopt these technologies to improve the lives of their citizens.