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Blockchain can be used to decentralize federated learning algorithms so that the benefits of collective machine learning are shared across multiple data owners. And, in Munich, it helps commuters find parking efficiently.
The UK-based Cambridge AI lab Fetch.ai is building a decentralized machine learning network for intelligent infrastructure.
In partnership with Munich-based enterprise blockchain solutions provider Datarella, it announced the implementation of its smart city infrastructure tests in Munich, Germany.
The smart city zoning trial in Munich, named M-Zone, will be launched in Connex buildings and will use multi-agent blockchain-based artificial intelligence services to optimize parking resources in commercial real estate properties in the city center to reduce the carbon footprint of the city.
Datarella
In a smart city, instead of walking into a parking lot hoping to find a space, an autonomous agent inside your car will search and communicate with nearby parking agents to find the available space closest to your destination, book it for you before directing you to it.
When you get back to your car and leave, your car agent exits the parking lot, calculates the payment and does it for you, eliminating the hassle of parking tickets.
Fetch.ai’s Autonomous Economic Agents (AEAs) will support the smart city infrastructure in Munich through an application in which they will autonomously negotiate the ‘price’ of parking spaces between the owners of them and those looking for a space.
Blockchain-based “token” pricing is hosted on smart contract platforms like Ethereum.
Users can earn digital currency rewards if they choose less frequented or in demand parking spaces (or don’t use Connex parking at all on some days). The AEA car park determines reward levels based on maximizing resource usage.
Users are incentivized to reduce their individual traffic through this reward system which is measured by the use of parking spaces. Each registered user who is a regular user of a car park will be rewarded with a certain amount of tokens per minute for not parking in the car park.
As soon as a car or its related wallet address is registered as parked by the AEA car park, the tokens added to its wallet stop. The number of tokens rewarded per wallet and minute depends on the current parking usage.
Michael Reuter, CEO of Datarella, said: “Assuming there is a 10% reduction in car use in Munich alone, the city would see a reduction in CO2 emissions of 34,000 tons per year.
Increased to cover all of Germany, this equates to 1.7 million tonnes of CO2 reduction per year. This smart city solution has the potential to penetrate huge markets by simply tapping into wasted data and using it efficiently. ”
The M-Zone project will help individual commuters and drivers save time, money and reduce driver stress by directing them to the optimal parking slot. City councils will benefit from optimized traffic flows and the environment will benefit by reducing CO2 emissions.
