We will present our solutions at the Väylät & Liikenne days on 10-11 September 2025.In addition, our Country Director Keijo Pulkkinen and Jarkko Pirinen from the Finnish Transport Infrastructure Agency will give a presentation on the opportunities of automation and digitalisation in road management on 11 September 2025 at 11:30am. We're also launching our September campaign for 360-photography and another for AI on road inventory at the event. Contact us for more information!
📍 Venue : Sibeliustalo, Lahti.
📆 Date: 10-11 September 2025.
🏢 Exhibition stand: 16
For more information about the fair and exhibitors: https://vaylat-liikenne.fi/
In a presentation at the Väylät & Liikenne Days, we will go through considerations on how automation and digitalisation bring significant benefits in road maintenance They improve the accuracy and reliability of data collection, enabling a real-time snapshot of road assets. This facilitates cooperation between the client and the service provider responsible for road maintenance.
In addition, automation and digitalisation will improve cost efficiency and work and road safety. They offer new alternatives to traditional specialist work, which can reduce the need for manual work and enable more efficient use of resources.
Image. Autori Vista image viewer brings speed to road condition assessment and damage repair, among other things.
In 2024, the Public Roads Administration carried out a study and pilot project on 'Automation and digitalisation opportunities in road management'. The aim of the project was to identify potential technologies for collecting data on equipment and facilities on roads and for quality assurance in green maintenance.
The study assessed the suitability of the technologies from a number of perspectives, including data quality and reliability, cost-effectiveness, safety and security, data security, scalability of the methods and user training needs.
The trials were carried out in the summer season 2024 and included four experiments: two on the collection of equipment data and two on the quality control of green area management. For example, in the data collection of drums on private road access roads, crowdsourced gamified data collection was experimented with the Crowdsorsa mobile game.
Based on the results, it was recommended to conduct larger-scale experiments to further refine the cost-effectiveness of the methods and the reliability of the data. In addition, the transfer of the collected data to exploitable systems, such as the road network system, was highlighted.
The experiments included the analysis of laser scanning data from the Land Surveyor's Office and AI-assisted image interpretation. Laser scanning data has the advantage of being comprehensive and safe to collect, but has a six-year update cycle, which may limit its usefulness.
AI-assisted image interpretation allows the collection of different types of data in a cost-effective way, and its reliability can be improved by teaching the algorithms with a wide range of image data.
Further experiments will further refine the cost-effectiveness of the methods and the reliability of the data. It is also important that the whole process from data collection to its use in systems is smooth and seamless.
The future outlook also emphasises the use of satellite imagery for equipment and facilities data collection and quality control in green management, as satellite imagery data are frequently updated and their potential for exploitation is constantly evolving.
Welcome to our stand (No. 16) to see how digitalisation and artificial intelligence are changing the way we maintain our roads! Our software solutions cover a wide range of needs from contractors to authorities.
You can also schedule a meeting with us in advance using the form below or book a remote demo.