Bright cities are cities which use different kinds of electronic IoT to collect information and use this information to manage assets and resources efficiently. Pune is a smart city situated in India; citizens who live in Pune do not have to rely on traditional forms of communication with their local utilities and service bodies.
This has eliminated the pains of travel to local governing departments and has completely eliminated the requirement for long queues and enrolment processes. The Pune Municipal Cooperation (PMC) utilises artificial smart chatbots to help these processes along.
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Here are a few ways we could use AI to make cities smarter:
1. Chatbots have proved to be very useful in navigating the government industry resulting in simple and effective workflows. Each wise city is designed to fix a particular problem, and thus each smart town has different missions and objectives. In the context of India, a mission for growing and setting 100 smart cities has been launched to supply a sustainable environment and infrastructure for the occupants. It's not physically possible for human agents to process a large volume of queries as well. There's clearly a disconnection between the populace and the local body in many towns and cities. In this case, automation can fix some of the usual day-to-day hurdles.
Artificial intelligence may be used to comprehend the everyday patterns of communicating. Between phone calls and chat, there has been a trend for customers and consumers to favour using chatbots. Popular retail brands have started to utilise AI chatbots as part of their conversational marketing and advertising attempts to give their clients a personalised experience. This not only adds to customer retention but is more inclined to convert an inquiry into a deal.
2. Flexible Traffic Signals have been applied in cities such as Los Angeles, San Antonio, and Pittsburgh. These technologies use real-time information to change the timers on traffic lights to correct the stream of traffic. This has enhanced travel times for town residents by 10% and in some regions with obsolete traffic signals by 50 percent. Better traffic flow not only makes driving more powerful and pleasant but also may have immense economic value. The Texas Transportation Institute has estimated the cost of traffic congestion at USD 87.2 billion in wasted fuel and lost productivity.
City traffic can definitely affect how our own lives improve. Better traffic circulation and sensors could better public transport such as taxis, Uber, Lyfts and buses. This would directly impact significance of all these app-based cab services that tend to have surge pricing according to traffic requirements and cab availability. The Massachusetts Bay Transportation Authority and others tap into real-time information to create accurate arrival-time predictions accessible to the public. This really is a game-changer and something just smart cities can pull off!
3. Surveillance and Security will play a major element in smart cities later on. Nvidia predicts there will be about 1 billion security cameras utilised around the world by 2020. While the placement of security cameras has ignited a discussion about privacy and a militarised state, the existence of cameras has also made improvements in public safety, reduced crime rates, and catching terrorists. Alas, the amount of cameras will create far more information than individual operators will be able to manage. Machine learning and artificial intelligence will aid in improving facial recognition, monitoring and other aspects of security discovery.
4. Water and Power are important resources to manage in a smart city. AI may be leveraged to enhance power and water use. Google claims that AI has cut power requirements in its own data centers by 40 percent. Cities are currently using smart grids to control power better. Solar-powered microgrids can be utilised in airports as illustrated by the city of Chattanooga in Tennessee. AI is also used to water metering to suppress extra water and find leaks.
5. Public Safety can be completely revolutionised if law enforcement agencies employ predictive modeling and AI frame to run checks against criminal databases. License plate reader technologies may also be used by the police to find stolen cars and identify expired registrations. There are of course privacy issues when predictive policing systems are utilized; nobody wants a science fiction police say like the Steven Speilberg movie: Minority Report! There is a good deal of work to be performed before these technologies can be utilised effectively for the general public.
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