Data collection vehicle optimises road maintenance for Canadian municipality

The Regional Municipality of Waterloo, Ontario, has awarded Fugro Roadware a contract to collect updated images for its road right-of-way (ROW) inventory. The contract covers 1,400 lane kilometres of regional roads and provides a web-based solution for digital image playback and data review.
February 12, 2016 Read time: 2 mins

The Regional Municipality of Waterloo, Ontario, has awarded 855 Fugro Roadware a contract to collect updated images for its road right-of-way (ROW) inventory. The contract covers 1,400 lane kilometres of regional roads and provides a web-based solution for digital image playback and data review.
 
Web-based data access maximises the region’s budget by reducing time consuming and costly field visits and enabling the sharing of information with various groups within the municipality.

Fugro’s multi-functional asset data collection vehicle, the ARAN 9000, is equipped with cameras, profilers and lasers. It automatically collects specific asset and pavement data, including transverse profile and road roughness. Captured using forward and right facing high resolution cameras, ROW images have a wide field of view and are geo-referenced to allow the images to be used in GIS software such as 50 ESRI’s ArcGIS.

The company’s iVision web-based application software gives municipality staff a synchronised view of images and collected roadway data allowing for easy visual quality assessment of assets and pavement condition. Data can be summarised in a graph, dashboard or tabulated form to help staff analyse asset trends year-over-year.

Related Content

  • June 14, 2017
    Deriving data to tackle tribal road crashes
    David Crawford looks at a new initiative to deal with high crash and fatality rates on America’s tribal roads. According to the US Centres for Disease Control and Prevention, on average two members of the country’s indigenous communities - American Indians or Alaskan Natives (AI/AN) - die every day in motor vehicle crashes. This represents a far higher percentage than that of the country’s general population. Historically, the US states with the worst records are Wyoming, South Dakota, Montana, North Dakot
    Read More
  • January 25, 2012
    Machine vision - cameras for intelligent traffic management
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More
  • January 25, 2021
    Tactile Mobility's virtual virtuous circle
    Virtual sensors will allow a safer driving experience and reduce road maintenance costs. Tactile Mobility’s Eitan Grosbard talks to David Arminas about what once seemed 'pure sci-fi'...
    Read More
  • April 19, 2022
    Webinar: how smart mobility data leads to safer roads
    Free webinar on 28 April features Wejo, Esri, TxDoT & Texas A&M Transportation Institute
    Read More

Highlighted Content