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Artificial intelligence helps us make our future more sustainable. This is particularly clear in the area of green mobility.
Climate change and the associated issue of sustainability have become an integral part of the public debate – and green mobility plays an important role in this context.
In recent years, the rapid development of artificial intelligence (AI) has made a significant contribution to getting a little closer to the goal of sustainable mobility. The use of AI now offers numerous innovative solutions that not only protect the environment, but also fundamentally change mobility.
Local public transport: intelligent networks and increasing efficiency
An example of this is local public transport. AI is already helping to make routes more efficient and to better adapt capacities to actual demand. By analyzing real-time data, AI can, for example, predict the utilization of buses and trains, helping to avoid overcrowding and optimizing timetables. This not only improves the user experience, but also increases the attractiveness of local public transport as a sustainable alternative to individual car transport.
Car sharing and ride sharing: efficient use through AI
Car sharing and ride sharing are important components of green mobility as they can reduce the number of vehicles on the roads and thus reduce emissions. AI technologies make it possible to optimize the availability of vehicles exactly where they are needed and to form carpools in such a way that detours and empty trips are minimized.
By using AI to predict demand and control vehicle distribution accordingly, car sharing services can be made more efficient and more attractive overall.
Bicycle mobility: AI-supported promotion and safety
Even if some people wouldn’t even think of it, AI can also make a significant contribution in the area of bicycle mobility. By analyzing traffic data, for example, safe bicycle routes can be identified and bicycle parking spaces can be set up according to needs. In addition, AI-based systems can help to improve the interaction between cyclists, pedestrians and motorized traffic in order to increase safety for all road users.
This kills two birds with one stone, because promoting cycling makes a significant contribution to reducing traffic emissions and also makes a healthy, environmentally friendly form of mobility even more attractive.
AI in intelligent energy networks
Another key aspect of green mobility that is being revolutionized by AI is the integration and optimization of intelligent energy networks – because the machine learning and adaptive capabilities of AI systems are crucial for the efficient use of renewable energy sources such as wind power and photovoltaics.
AI helps balance energy supply and demand in real time, for example by optimizing the production and distribution of renewable energy. This is the only way to shape the energy transition in the medium term if the demand for electricity gradually increases due to heat pumps and electromobility.
AI also helps in the transition to sustainable mobility
It is absolutely clear that internal combustion engines will not disappear from our roads overnight. In some countries they will probably be found for decades.
However, artificial intelligence can help advance the development and production of sustainable fuels, which can then be used to make vehicles with conventional drives more environmentally friendly. By analyzing large amounts of data and simulating chemical processes, AI applications make it possible to identify more efficient ways to produce biofuels, synthetic fuels and hydrogen.
Fuels obtained from biomass and other renewable sources can be produced with lower energy consumption and higher yields. AI-based algorithms also help optimize production processes and reduce costs, improving the economic viability and market acceptance of these environmentally friendly alternatives to fossil fuels.
By accelerating research and development of sustainable fuels, AI is making a significant contribution to reducing CO2 emissions in the transport sector and promoting the global shift to greener mobility.