Sens presented experiences from an applied machine learning project and recommendations for the use of road data and sensors for the Norwegian Road Administration.
Through technology investment in the National Transport Plan, the Norwegian Road Administration (SVV) has established the project "Predictable passable mountain crossings" ("Forutsigbare framkommelige fjelloverganger") where the goal is to use existing and new technology to improve predictability for motorists at all of its 23 mountain crossings.
On 13th of September, SVV held a dialogue conference at Gardermoen where suppliers could record their ideas for measures and technology to achieve this goal.
Thomas Hillesøy from Sens Consulting, together with Simen Hustad from DFØ, presented the project vegvarsel.no - a prototype machine learning service that uses weather and road data to predict whether mountain passes will close. Read here if you are interested in a more comprehensive description of the service itself.
The service was developed as part of the master's course Analytics for Strategic Management at BI, which Thomas completed in spring 2021.
Sens Consulting wants to develop in line with how its employees develop, and encourages and facilitates those who want extra personal development.
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