Skip to main content

Ontario MOT upgrades highway infrastructure data collection

Geo-intelligence and asset integrity solutions provider Fugro has supplied the Ministry of Transportation of Ontario (MTO), Canada, with its automatic road analysers Aran 7000 and Aran 9000 to collect critical highway infrastructure data. MTO uses the systems as complementary parts of their fleet of asset management tools and utilises the data to assess the health of Ontario’s highway network in its efforts to extend the lifespan of its road network and infrastructure. The Aran 7000 is a fully port
December 14, 2016 Read time: 2 mins
Geo-intelligence and asset integrity solutions provider Fugro has supplied the Ministry of Transportation of Ontario (MTO), Canada, with its automatic road analysers Aran 7000 and Aran 9000 to collect critical highway infrastructure data.

MTO uses the systems as complementary parts of their fleet of asset management tools and utilises the data to assess the health of Ontario’s highway network in its efforts to extend the lifespan of its road network and infrastructure.  

The Aran 7000 is a fully portable road profiling solution for roughness, smoothness, rutting and texture measurement while the Aran 9000 is a fully integrated data collection system equipped with lasers, cameras and accelerometers to measure a road’s profile and to provide an inventory of road assets. The devices enable the Ministry to obtain continuous and improved infrastructure data on highways and roadways, where conducting a manual survey is time consuming and unsafe for staff.

As technology has evolved, MTO’s ability to measure conditions accurately has increased and currently it is updating existing paving contracts to include a requirement for automated data collection. Pavement smoothness is of high importance for MTO and the travelling public. Each time a contractor completes a construction, resurfacing, or rehabilitation project, they are required to use an inertial profiler to measure the surface quality using the International Roughness Index (IRI).

According to Jason Wade, pavement evaluation supervisor for MTO, combining pavement data collection activities using the Aran 9000 and 7000enables them to provide the most cost effective and appropriate solution, in the right place and at the right time. The two platforms provide seamless data integration into MTO’s Vision and iVision specialist software and web application systems. This allows MTO to make well informed decisions on pavement performance and rehabilitation.

Related Content

  • Otonomo connects with Geograma
    September 8, 2022
    CV data specialist and Spanish GIS provider will deliver enhanced road safety solutions
  • FHWA proposes new performance measures to reduce highway congestion
    April 19, 2016
    The US Department of Transportation’s Federal Highway Administration (FHWA) today released a proposed regulation outlining new performance measures to assess travel reliability, congestion, and emissions at a national level. It calls for an increased level of transparency and accountability in establishing and achieving targets for performance impacting commuters and truck drivers. The measures address the concerns outlined in the USDOT report Beyond Traffic, which examines the trends and choices facing
  • IRD to provide WIM systems and services for FHWA
    October 1, 2015
    International Road Dynamics (IRD) has been awarded a US$4.9 million contract for weigh-in-motion (WIM) systems installation, maintenance and data services by the Federal Highway Administration (FHWA) Office of Infrastructure Research and Development. The contract is a task-order based, indefinite delivery, indefinite quantity agreement covering a sixty-six month period, under which IRD will be issued task orders to provide installation, maintenance, repairs and verification that data collected from the W
  • 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