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Parkopedia to launch real-time data service to predict unoccupied on-street parking spaces

Published: September 17, 2015 |London, United Kingdom

Crowdsourced parking-data platform Parkopedia is launching a new real-time information service designed to guide drivers to unoccupied on-street parking spaces in major cities. Parkopedia describes itself as a “Wikipedia for parking.” Through the website and suite of native mobile apps, Parkopedia lets you see information on parking meters, parking spaces, parking lots, and even private driveways offered up for hire. Much of this data is added to and updated by the Parkopedia community.

A key feature of Parkopedia’s offering is that it provides dynamic, real-time information on available spaces in barriered parking lots, which is useful for drivers wishing to avoid that painful “FULL” sign on arrival. The new service offered by Parkopedia doesn’t rely on sensors or any other kinds of difficult-to-scale hardware. Instead, it uses predictive algorithms, historical data, and other information garnered from cars that have Parkopedia integrated. It claims that it’s around 80 to 90 percent accurate at present, and should improve even more as it receives additional “floating” car data.

With more than 38 million parking spaces listed across 6,000 cities in 53 countries, Parkopedia has garnered the attentions of Garmin, which will be the first navigation provider to offer the parking service, kicking off in a handful of cities across Germany from next month.

The parking landscape

Earlier this year, Ford announced it was experimenting with new ways to solve parking problems in major cities, creating apps that allow people to find nearby parking spots. It also revealed an experiment in social collaboration, where residents are able to reserve a parking bay in busy neighborhoods.

While Parkopedia isn’t the only company to be tackling the perennial problem of parking in major conurbations, it is using its vast collection of data to help ease congestion and ensure drivers can spread themselves around and not all fight for the same spaces. It’s kind of like what the likes of Google and Waze are doing for traffic, predicting and revealing the best routes to travel as traffic flows shift.

Source: Venturebeat


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