

Accurate forecasts of delays in train traffic
This is demonstrated by an ongoing research project in which the Swedish Transport Administration, Linköping University and Atea are collaborating on.
But it is in the interaction between man and machine that the greatest values will arise.
The goal is to train the algorithm so that we can more quickly send out more accurate traffic forecasts for all kinds of traffic disruptions.
To make the tasks "data ready", people are needed who can analyze and understand the Swedish Transport Administration's disruptions, but also levels (of traffic disruptions) and reason codes. At the same time, the sharpest AI experts are required. Therefore, the Swedish Transport Administration chose to hire Peter Lenaers, AI expert at Atea, who collaborates with researchers from Linköping University.
“_We have seen a number of exciting results so far, but we have almost a year left, so much can happen. In December 2022, we will present what we have arrived at and after that a decision will be made about a possible continuation or implementation_” says Daniel Jakobsson, Strategist at Trafikverket