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Data and AI for decision Making suppOrt in traffic iNfrastructure Development (DAIMOND)

Reference number
Coordinator Jönköpings kommun - Jönköpings kommun Stadsbyggnadskontoret
Funding from Vinnova SEK 599 800
Project duration November 2023 - October 2024
Status Ongoing
Venture Learning and meeting places
Call Start your AI journey: For organizational learning and practical use of artificial intelligence in municipalities and civil society in 2023

Purpose and goal

** Denna text är maskinöversatt ** Jönköping municipality´s urban planning office and traffic department is embarking on an AI journey to improve road infrastructure planning and safety. By shifting to data-driven methods, we strive for more scientific and empirical decisions. Although AI technologies have potential, expertise in the field is lacking in many municipalities. This project addresses this gap and initiates our AI journey.

Expected results and effects

** Denna text är maskinöversatt ** The project will deliver an AI-based decision support prototype for the design of zebra crossing or zebra-less crossing in school areas, with a strong emphasis on safety. Through development and implementation of the prototype, the municipality will gain valuable insights into potential of AI methods. The project´s results will not only benefit Jönköping, but also serve as a valuable model for other municipalities that want to improve their planning and development of road infrastructure through data-driven and AI methods.

Planned approach and implementation

** Denna text är maskinöversatt ** The project brings together decision makers from Jönköping municipality (JK), researchers in AI (Jönköpings Universitet (JU)) and specialists in traffic data collection and analysis (Viscando. The smar work ensures a smooth start of Jönköping municipality AI journey. The municipality works internally to create forums for knowledge exchange to all businesses in the municipality.These can draw inspiration and knowledge that can then be translated into their own AI solutions

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

Last updated 9 November 2023

Reference number 2023-02842

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