Skip to main content

Inrix launches traffic data analysis via the cloud

A new portfolio of road performance and analytical visualisation tools just launched by Inrix, the Inrix Roadway Analytics, is a set of on-demand tools available in Europe and the Middle East that, providing transport agencies with quick and easy access to in-depth roadway analysis and visualisations. Inrix Roadway Analytics also allows users to create reports and other communication materials to convey important information and recommendations to drivers, decision makers and the general public. Built on
July 7, 2016 Read time: 2 mins
A new portfolio of road performance and analytical visualisation tools just launched by 163 Inrix, the Inrix Roadway Analytics, is a set of on-demand tools available in Europe and the Middle East that, providing transport agencies with quick and easy access to in-depth roadway analysis and visualisations. Inrix Roadway Analytics also allows users to create reports and other communication materials to convey important information and recommendations to drivers, decision makers and the general public.

Built on Inrix XD Traffic, which covers 1.7 million miles of road in 28 countries in Europe and the Middle East and available to users as a browser-based application, Inrix Roadway Analytics helps to enable the efficient planning, monitoring and assessment of road performance. The service is designed to help transport agencies and city planners reduce cost of daily operations, pinpoint areas that benefit most from road improvements and more accurately measure and report the impact of their investments

The portfolio of tools provided by Inrix Roadway Analytics includes Data Downloader, which enables users to directly query Inrix XD Traffic speed archive data (from 24 hours prior) for any road segment and/or time period required. Performance Charts produce line and bar graphs, which enable before and after studies and/or comparison studies of roadways and use visualisations to communicate findings, while Congestion Scan uses heat maps to identify problem areas along a road, meaning transport agencies can pinpoint the location of congestion to better target improvement efforts. In addition, Bottleneck Ranking identifies all bottlenecks or congested corridors during a specific analysis period within an area, and provides a ranking by determining the number of occurrences, length and duration of each bottleneck.

For cities, Inrix Roadway Analytics allows agencies to perform before and after studies to quantify and communicate the impact of a road improvement or event; monitor and identify performance trends on key roads, corridors or segments daily, monthly or yearly; produce and regularly report Key Performance Indicators (KPIs) on travel times, congestion reduction and other areas, such as emergency response times; and regularly monitor and compare roadway conditions at roadwork and construction sites and make adjustments as needed to minimise the impact on traffic flow.

For more information on companies in this article

Related Content

  • Trafik Stockholm uses data gathered from Bluetooth and Wi-Fi to alleviate congestion
    November 20, 2017
    Trafik Stockholm (TS) has chosen Blip Track technology from Denmark-based Blip Systems to alleviate congestion on the city's road by providing live traffic information via real-time and historical travel flow data from road users’ Bluetooth and Wi-Fi devices. Travel times are continuously updated in line with the behaviour of road users so that by considering their route and the time they depart, they can help to reduce bottlenecks and keep traffic moving. The technology provides a birds-eye view of the
  • StreetLight's figures highlight Covid effect
    July 15, 2022
    Traffic data provides insights which can be used for planning and BIL investment
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • Affordable and versatile traffic data
    January 20, 2012
    Houston TranStar, which has been collecting travel time and segment speed data using vehicle probe data since 1995, has an extensive coverage area that envelops most local commuters' daily freeway routes. However, expanding the existing Automated Vehicle Identification (AVI) system would be cost-prohibitive except for high-volume freeways. The partners of the Houston TranStar consortium needed a new method to measure speeds and travel times on arterial roadway systems and rural freeways. Instead of using co