Skip to main content

Vaisala highlights AI in road maintenance

New eBook explains how data can be collected at same time as scheduled inspections
November 23, 2020 Read time: 1 min
RoadAI system combines live road video with state-of the-art analytics for carrying out road inspections (© Vaisala)

Vaisala has created an eBook which looks at how artificial intelligence can be used in road maintenance.

AI on the road: Why pavement condition inventory is such an excellent AI use case explains how Vaisala RoadAI is helping organisations address the most difficult challenges with infrastructure management. 

"Maintaining roads is complex, and organisations are looking for more efficient, cost-effective and safe ways to maintain their networks,"  Vaisala says.

"AI offers much more than basic road analysis. The technology helps you to quickly analyse your road conditions; upload assessments and inspector notes; make maintenance decisions and respond faster; and keep your roads safer."

The RoadAI system combines live road video with state-of the-art computer vision and analytics for carrying out road inspections. 

The combination of these automated, unbiased factors gives road inspectors a trustworthy artificial assistant to support their work, the company insists.
 
The eBook contains information on how how data can be collected on the same rides as scheduled safety inspections or daily road patrols, and gives examples of best practice.
 
Download the eBook 

Content produced in association with Vaisala

For more information on companies in this article

Related Content

  • Swedish AV dataset makes waves
    September 22, 2021
    Research boat provides conditions for fair comparisons between different algorithms
  • Keeping a watching brief over traffic flows
    March 11, 2015
    Monitoring traffic flows is set to become an even bigger challengebut a revolution in camera technology can help, as Patrik Anderson explains. By 2025 almost 60% of the world’s population will live in urban areas and in those cities there will be an estimated 6.2 billion private motorised trips every day. In order to manage this level of traffic growth, traffic management centres (TMCs) will need to both increase their monitoring capabilities and be able to detect traffic problems quickly, efficiently and r
  • Lyft enters Las Vegas robotaxi space 
    November 23, 2021
    Motional's robotaxi is planned to be used in ride-hailing in Vegas without a driver from 2023
  • Getting more for less from traffic data
    August 15, 2012
    Collection of traffic and transit data has grown significantly, combining with advances in connectivity and computational modelling to good effect. Desire to do more with less – to make budgets go further – has helped create a boom in the collection and study of traffic and transport data. Studies are becoming longer, greater in number and further in-depth as more intelligence is sought, plus, transportation agencies are looking to make processes of data collection less costly, or more efficient.