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

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