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Samstag, 27.11.2021
eGovernment Forschung seit 2001 | eGovernment Research since 2001

Smart cities are cities that use different types of electronic IoT to collect data and then use this data to efficiently manage assets and resources. 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 utility companies and service bodies. This has eliminated the hassle of traveling to local government departments and has completely eliminated the need for long lines and registration processes. The Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to assist in these processes.

Here are some ways we can use AI to make cities smarter:

  1. Chatbots They have proven to be very useful in 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 objectives. In the context of India, a mission was launched to develop and establish 100 smart cities to provide a sustainable environment and infrastructure for their residents. It is not physically possible for human agents to also process a large volume of queries. It is clear that there is 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 hurdles.

    Artificial intelligence can be used to understand daily communication patterns. Between phone calls and chat, there has been a trend for consumers and customers to prefer using chatbots. Even popular retail brands have started using artificial intelligence chatbots as part of their conversational marketing efforts to provide their customers with a personalized experience. Not only does this increase customer retention, it is more likely to turn an inquiry into a deal.

  2. Adaptive traffic signs 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 the flow of traffic. This has improved travel times for city residents by 10 percent and in some areas with outdated traffic signs by 50 percent.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, such as taxis, Uber, Lyfts, and buses. This would directly affect the affordability of these app-based taxi services which tend to have price increases based on traffic conditions and taxi availability. The Massachusetts Bay Transportation Authority and others take advantage of real-time information to make accurate predictions of arrival time available to the public. This is a game changer and something only smart cities can achieve!

  3. Vigilance and security they are going to play an important factor in smart cities in the future. Nvidia predicts that around 1 billion security cameras will be used worldwide by 2020. While the location of security cameras has sparked a debate about privacy and a militarized state, the presence of cameras has also improved security. public and has reduced crime rates. and capture of terrorists. Unfortunately, the number of cameras will produce much 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 artificial intelligence systems to identify specific objects and activities in images. Research is being conducted for real-time monitoring of multiple videos through a Deep Intermodal Video Analytics project, led by the Intelligence Advanced Research Projects Activity. Nvidia is also developing a metropolis platform designed to use deep learning artificial intelligence to help with analytics.

  4. Water and energy they 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 the 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 illustrated by the city of Chattanooga in Tennessee. AI is also being applied to water measurement to slow down excess water and find leaks.

  5. Public security It can be completely revolutionized if law enforcement agencies apply a predictive model and artificial intelligence framework to run checks against criminal databases. The police can also use license plate reading technology to find stolen cars and identify expired registrations. Of course, there are privacy concerns when using predictive surveillance systems; Nobody wants a sci-fi police state like Steven Speilberg’s movie: Minority Report! Much work remains to be done before these technologies can be used effectively by the public.

There is immense potential for AI to change the lives of residents in smart cities. 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.

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Quelle/Source: Uplimerunt, 05.11.2021

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