Let’s see If AI can be a Hidden Weapon for Climate Change – Part 2

Today I am here with the second part of AI and climate change. As I said, there are many areas to integrate AI for climate change, too and they are:

  • Making cities more livable and sustainable
  • Smart agriculture
  • Smart transports
  • Better climate predictions
  • And more

According to Urbanisation Worldwide, the world is already much more urbanized than previously thought and according to United Nations, today, 55% of the world’s population lives in urban areas, a proportion that is expected to increase to 68% by 2050.

What I am sure of is that does not matter whether we live in a big city or not, we suffer from traffic congestion, security, sanitation, administration of the cities, and more. Let me give you a basic example: Some cities have experienced a population increase in recent years and it refers to many people who need at least one transportation vehicle. These people who were seen every day in the traffic come from mandatory having at least one transportation in the big cities because of traveling needs. Carbon dioxide emissions come from moving people, and a high percentage of these emissions are from cars or other vehicles – Unfortunately, CO2 goes into the atmosphere to trap warm air inside like a greenhouse.

Although governments try to control the growth of the population, AI can be used to develop and improve the performance of smart cities. The first important thing is the traffic. For example, in Istanbul does not matter at what time you go somewhere by car, in recent years almost every hour there is traffic – a deadly one! The good solutions for sustainable urban transport can include giving priority to bicycles over cars and also the parking and traffic management system. For example, creating real-time parking and traffic maps using the road surface sensors help the driver to find their parking spot and save their time, in this case, traffic can be more smooth.

There is a case study about a traffic control system from Moscow. What is purpose is to help reduce waiting times at traffic lights and to do that real-time data needs to be used to respond to changing traffic conditions. Also, this real-time data shows weather, pollution, estimated travel times, and etc. Other examples of AI algorithms are offering shared vehicles and driverless trains in Moscow.

There are examples of some cities tackling climate change:

  • Urban Transportation award recipient: Bogota for its efforts to green its Bus and Taxi fleets. — Transmilenio
  • Carbon Measurement & Planning recipient: Copenhagen for its 2025 Climate Plan, which lays out the path for the City to become the first carbon-neutral capital city by 2025.
  • Air Quality recipient: Mexico City for itsProAire program, has over the last two decades recorded impressive reductions in local air pollution as well as CO2 emissions.
  • Intelligent City Infrastructure recipient: Singapore for its Intelligent Transport System, which incorporates a range of smart transportation technologies, including one of the world’s first Electronic Road Pricing Systems, real-time traffic information delivered through GPS-enabled taxis, and a highly integrated public transportation system.

The second important thing is waste optimization and Istanbul Technical University (ITU), the United Nations University (UNU) and International Solid Waste Association (ISWA) estimated that in 2050, the world will generate about 50 Mton of Waste Electrical and Electronic Equipment (WEEE). What are the examples of waste management? The robots can sort and pick recycled materials from trash by combining Computer Vision, Machine Learning, and Artificial Intelligence. Also, they can categorize them based on the quantity of each type of waste. Furthermore, Dubai uses smart bins and these smart bins use sensors to decide what to do with the waste and to do that compare this waste to previous waste records.


There are many AI-integrated developments and for sure it is not possible to explain each details here. My main point is to show how AI can work together with climate-change problems. All we need is to know what is the huge risks for us and try to develop or suggest solutions. Unfortunately, it is not possible to make technological developments without education but being a logical person is not only about being educated. We need to be aware of what is happening around us, around humanity and we should take an action with whether big or small steps. The only matter is to start.






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