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

  • Swarco parks up at Warwick University
    May 28, 2020
    Warwick needed to maximise available parking across 27 on-campus car parks
  • San Francisco launches congestion management strategy
    December 11, 2014
    San Francisco mayor Edwin M. Lee has launched the city’s congestion management strategy to improve traffic flow and safety, especially in the South of Market neighbourhood where construction and growth remain the highest in the City. The strategy outlines additional efforts the city could undertake, beyond traditional approaches such as the Interdepartmental Staff Committee on Traffic and Transportation (ISCOTT). These additional efforts include smarter traffic enforcement, better construction permitt
  • Cost Benefit: Utah traffic light scheme pays dividends
    March 15, 2019
    A traffic signal control scheme in Utah is being taken up by other US authorities. David Crawford finds out how the Beehive State is leading the way in DoT and driver savings Growing numbers of US state departments of transportation (DoTs) and their road users are gaining real financial benefits from an advanced approach to traffic signal monitoring recently developed in Utah. Central to the system is its use of automated traffic signal performance measures (ATSPM) technology, brought in to improve th
  • Researchers devise snow ploughing algorithm
    September 16, 2014
    Canadian researchers Olivier Quirion-Blais, Martin Trépanier and André Langevin have developed an algorithm to determine the most efficient routes for snow ploughs and gritters. Snow plough routing has always been something of a ‘black art’: to direct a fleet of show plough to clear priority roads without having the same road cleared several times while others are left untreated. Increasingly, GPS is being used to track the routes the clearing vehicles have taken but until now it has not been possible to ta