Smart cities are cities that use different types of electronic IoT to collect data and then use this data to manage assets and resources efficiently. Pune is a smart city located in India; Citizens living in Pune do not need to rely on traditional forms of communication with their local public services and service agencies. This has removed the pains of traveling to local government departments and completely eliminated the need for long queues and check-in processes. The Pune Municipal Cooperation (PMC) uses AI chatbots to assist in these processes.
Here are some ways we can use AI to make cities smarter:
1. chatbot they have proven to be very useful for navigating the government sector and generating 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 the context of India, a mission was launched to develop and establish 100 smart cities to provide a sustainable environment and infrastructure for its residents. It is not physically possible for human agents to also process a large volume of queries. There is clearly a disconnect between the population and the local body in many towns and cities. In this case, automation can solve some of the common day-to-day obstacles.
Artificial intelligence can be used to understand daily patterns of communication. Between phone calls and chat, there has been a trend of consumers and customers preferring to use chatbots. Even popular retail brands have started using AI chatbots as part of their conversational marketing efforts to provide their customers with a personalized experience. Not only does this increase customer retention, but you’re more likely to turn an inquiry into a deal.
two. Adaptable traffic lights they have been applied 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 This has improved travel times for city residents by 10 percent and in some areas with outdated traffic signals by 50 percent.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 enjoyable, it can also be of enormous economic importance. The Texas Transportation Institute has estimated the cost of traffic congestion at $87.2 billion in wasted fuel and lost productivity.
City traffic can definitely affect how our lives improve. Better traffic flow and sensors could improve public transportation like taxis, Uber, Lyfts, and buses. This would directly affect the affordability of these app-based taxi services which tend to have high prices depending on traffic conditions and taxi availability. The Massachusetts Bay Transportation Authority and others leverage real-time information to make accurate arrival time predictions available to the public. This is a game changer and something that only smart cities can achieve!
3. Monitoring and Security they will play an important factor in smart cities in the future. Nvidia predicts that around a billion security cameras will be used worldwide by 2020. While the placement of security cameras has sparked a debate about privacy and a militarized state, the presence of cameras has also improved public safety. , reduced crime rates, and catch terrorists. Unfortunately, the number of cameras will produce far more data than human operators will be able to manage. Machine learning and artificial intelligence will help improve facial recognition, tracking, and other aspects of security detection.
Government agencies are now developing means to train AI systems to identify specific objects and activities in images. Research for real-time monitoring of multiple video streams is underway through a Deep Intermodal Video Analytics project, run by the Intelligence Advanced Research Projects Activity. Nvidia is also developing a metropolis platform designed to use deep learning AI to help with analytics.
Four. Water and Energy are important resources to manage in a smart city. AI can be harnessed to optimize energy and water use. Google claims that AI has reduced power requirements in its data centers by 40 percent. Cities are now using smart grids to better manage energy. Solar-powered microgrids can be used at airports, as the city of Chattanooga in Tennessee illustrates. AI is also being applied to water metering to curb excess water and find leaks.
5. Public security it can be completely revolutionized if law enforcement agencies apply predictive modeling and an artificial intelligence framework to run checks on criminal databases. License plate reader technology can also be used by law enforcement to find stolen cars and identify expired registrations. Of course, there are privacy concerns when using predictive surveillance systems; no one wants a sci-fi police state like Steven Speilberg’s film Minority Report! There is a lot of work to be done before these technologies can be used effectively for the public.
There is immense potential for AI to change the lives of smart city residents. The United States and China have already implemented 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.