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Climate-sensitive decision support for freight transport planning and policy making

Reference number
Coordinator Statens Väg- & Transportforskningsinstitut - Statens väg- & transportforskningsinstitut VTI
Funding from Vinnova SEK 4 963 303
Project duration October 2021 - May 2025
Status Completed
Venture AI - Leading and innovation
Call AI in the service of the climate 2

Important results from the project

The project has successfully achieved its objective to support Swedish authorities’ – and in particular the Swedish Transport Administration’s – climate work through the development of a climate-sensitive, model-based decision support tool. An integration of AI into the modelling process proved impractical within the scope of the project. The AI-based approach was therefore replaced with an optimization-based model formulation, which proved to be a more appropriate and efficient alternative.

Expected long term effects

The project has delivered a climate-sensitive decision support tool for freight transport planning. The tool is expected to continue to contribute to analyses and research efforts, enabling more robust and well-founded planning data. The development of a freely available freight transport model has potential to strengthen Swedish research and innovation in the climate and transport area. The openness of the model fosters development and collaboration across disciplines and organizations.

Approach and implementation

This was a quantitative research project that followed four steps: (1) problem analysis, (2) modeling, (3) implementation, and (4) testing and validation. The work was done in close collaboration with the Swedish Transport Administration. The work was also presented at scientific seminars to share subject knowledge and receive feedback. The focus was on using data and models that work together with the Swedish Transport Administration´s existing planning tools.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 24 June 2025

Reference number 2021-02749