AI based Forecast on Travel Time on Norwegian Roads

Together with PSI FLS Fuzzy Logik & Neuro Systeme GmbH, PSI Mines&Roads GmbH is supplying the system PSIroads/MDS for multi-criteria decision support for the control of traffic flows. The project is one of the 6 innovation projects under development on the E8 corridor as a part of the Nordicway 2 project co-financed by the European Union under the Connecting Europe Facility (CEF) funding mechanism.

PSIroads/MDS based on PSIjscada technology, determines the prediction of travel times, taking into account weather conditions and winter services, in order to enable the production industry to better plan transportation especially of critical cargo such as fresh salmon.

In addition to the decision support software Qualicision, which is already integrated in PSIroads/MDS, Convolutional Neuronal Networks (CNN) will be implemented to evaluate camera images that are continuously recorded along the route at important points. From these images, the conditions of the road surface will be extracted and used together with the locally measured and forecast weather data from the Norwegian Meteorological Institute as well as further input data for the prediction of travel times on the E8 motorway.

The research project is another important strategic milestone for PSI Mines&Roads and strengthens the development of complementary traffic management solutions based on Artificial Intelligence (AI).

 

Link to the NPRA Borealis project:

https://www.vegvesen.no/Europaveg/e8borealis/inEnglish

Further links:

Markuu Björkman auf transportochLogistik.se