Skip to main content

EasyPark launches Find & Pay predictive parking technology

Find & Pay from EasyPark uses big data, predictive analytics and machine learning to cut (by up to 50%) the time taken to find parking in congested cities. Find & Pay combines transaction data with crowd-sourced location information from users and Internet of Things (IoT) devices to create a parking probability map for each city block at any given hour of the day. With this information it provides users with a route to their destination which passes along streets with the highest probability of parking avai
August 22, 2017 Read time: 1 min

Find & Pay from 7693 EasyPark uses big data, predictive analytics and machine learning to cut (by up to 50%) the time taken to find parking in congested cities. 

Find & Pay combines transaction data with crowd-sourced location information from users and Internet of Things (IoT) devices to create a parking probability map for each city block at any given hour of the day. With this information it provides users with a route to their destination which passes along streets with the highest probability of parking availability, balancing in-car time against walking distance to destination to find the optimal route.

It provides turn-by-turn navigation along the route, also noting available off-street parking and lets users remotely manage and pay for the parking space when they arrive.

For more information on companies in this article

Related Content

  • Pioneering sensors collect weather data from moving vehicles
    January 20, 2012
    ITS International contributing editor David Crawford foresees the vehicle as 'sentinel being'
  • Kerb your enthusiasm, warns Passport
    March 4, 2019
    Dynamic kerbside management is crucial if urban authorities are to address increasingly chaotic situations caused by the gig economy and mobility innovation, says Adam Warnes at Passport Demand for the kerbside is growing and changing and it’s no surprise when you consider the recent innovations within the mobility industry. For starters, there are new modes of transport, including ride-shares, electric vehicles (EVs), dockless cycles, last-mile consolidations and autonomous vehicles (AVs). Secondly, the
  • Traveller app spells big opportunities for authorities
    February 25, 2016
    The spread of a new generation of travel apps such as Citymapper will open up unprecedented opportunities for transport authorities and city planners as much as they help individual travellers minimise their travel times. These apps for mobile phones (and increasingly in-vehicle satellite navigation systems) show users the quickest route to their destination. They take into account real-time traffic congestion on potential routes, delays or otherwise on the trains, metro and mass transit systems and wheth
  • When traffic data can get it totally wrong
    November 30, 2021
    How can a highway devoid of traffic provide data suggesting it is filled with vehicles crawling along? Michael Vardi of Valerann provides an insight into how data can easily be skewed - and what can be done to prevent it