M-ZONE Smart City Infrastructure Solution – Open, Decentralized, Self-Sovereign

Michael Reuter

12 November 2020

Datarella, in partnership with Fetch.ai, a Cambridge-based artificial intelligence lab building an open-access decentralized machine learning network for smart infrastructure,  announced today the launch of M-ZONE, their smart city zoning infrastructure trials in Munich, Germany. Using their AI-powered software agents to optimize resource usage and reduce the city’s carbon footprint Datarella and Fetch.ai predict mass implementation of smart city infrastructure will result in 34,000t annual CO2 emission reduction.

M-ZONE will be launched in the Connex Buildings and will utilize multi-agent blockchain-based AI digitization services to unlock data and provide smart mobility solutions in its commercial real estate properties in the city center.

“Landlords, as well as the City Council, are interested in optimizing the parking space management, to allow for available parking for all employees of corporate tenants while organizing the traffic flow and preventing commuter traffic jams,” said Michael Reuter, CEO of Datarella. “Our system incentivizes community use of public transport through a tokenized incentive system while reducing the congestion that accounts for a great deal of Munich’s CO2 emissions.”

M-ZONE will solve the needs of various stakeholders:

  • Individual commuters and drivers: save time, money, and reduces driver stress

  • Property owners: simplified approval for new development projects

  • Tenants: lower rent through dynamic parking spot sharing

  • City Council: optimized traffic flows

  • Environment: less negative impact through saved CO2

Upon implementation, AEAs (Autonomous Economic Agents) will support the sustainable and efficient use of city infrastructure in Munich through an application where they will autonomously negotiate the 'price' of parking spaces between the holders of parking spots, and those looking for parking spaces. Users can earn rewards in the digital currency if they choose less popular or in-demand parking spaces (or do not use the parking lot at all on some days). The Carpark AEA determines the reward levels to maximize resource usage.

“Fetch.ai provides a decentralized framework for building and customizing autonomous AI agents to carry out complex coordination tasks,” said Humayun Sheikh, CEO of Fetch.ai. “Our vision is to connect digital and real-life economies in order to enable automation over a decentralized network and change the way we use data.”

Users are incentivized to reduce their number of car trips to the Connex and adjacent corporate offices through a reward system which is measured by the utilization of parking spaces. Each registered user who is a regular car park user will be rewarded with a certain amount of tokens per minute for not parking at the parking lot. As soon as a car or its related wallet address is registered as parked by the Carpark AEA, the token airdrops to this wallet stop/slow. The number of tokens rewarded per wallet and minute depends on the current utilization of the parking lot.

“Assuming there is a 10% reduction in car usage across Munich alone, the city would see a 34.000 tonnes annual CO2 emission reduction,” continued Reuter. “Scaled up to cover all of Germany, that equates to 1.7 million tonnes CO2 reduction, annually. This smart city solution has the potential to penetrate huge markets simply by tapping into wasted data and utilizing it efficiently.”

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