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Joint-venture of blockchain-backed data companies ‘Streamr and Fysical’ to trace real-time aggregate location for shaping traffic models
In order to utilise real-time aggregated location to more precisely notify and shape traffic models, Zug, Switzerland-based blockchain-backed data platform, Streamr has entered into a partnership with decentralized location data market ‘Fysical’.
Well, the alliance likely to leverage data fetched from mobile apps on 10 million phones in order to facilitate the improvement of latest infrastructure in an industry that has essentially relied on regulated information. Streamr, with the collaboration of Fysical, will exhibit a noteworthy use-case as to how the data could be gathered, modelled, and utilized to advance the delivery of transport planning services within the infrastructure industry.
Although initial pact between Streamr and Fysical took place in this May 2018 to enable consumers to reclaim and monetize the real-time data that is being generated about them from hundreds of mobile apps and other devices, now through this pilot project they are making further advances to realise the potential of a data economy. Streamr now allows for this existing data to be processed through a decentralized infrastructure to ensure greater transparency in the industry.
Head of Partnerships at Streamr, Mr. Ben Sheppard mentioned: "Structuring an effective traffic model of Georgia using datasets obtained via the Streamr marketplace is an eccentric instance of how Streamr is facilitating data to be used in an improved way. We are breaking down the barriers between data producers and users, to facilitate new ways of delivering traditional services in a more efficient and cost-effective manner. We see a huge market for this type of work, which is why we felt it important to undertake this pilot and show the transport planning community what can be made possible through Streamr Marketplace."
Streamr has procured Bold Native Advisors Ltd (Native), a global multidisciplinary consulting firm, to build a traffic model of Georgia using aggregated location data obtained from apps on iOS and Android phones. While the pilot targets to build a new demand matrix for a traffic model, with the country of Georgia selected due to the fact that in 2017 Native built a model in Georgia on behalf of the World Bank, using traditional datasets and roadside interviews.
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