AI Enhanced Mobility

AI Driven Mobility's first phase highligted the great potential Artificial Intelligence (AI) has to improve the efficiency and societal benefit of the mobility system. AI is a driving technology for innovation, growth, and social change, and in the long run AI will change the mobility and transport system as well as society in general.

AI has already made an impression in many areas, the technology is ready for concrete applications and now it is all about getting started. The vision is that Sweden takes a leading role in the development of a future mobility system for people and goods that is sustainable, safe and accessible to everyone. In order to succeed, completely new collaborations between AI and mobility experts and increased AI knowledge in the field of mobility are required.

AI Enhanced Mobility was a catalyst to accelerate the development of AI solutions in the field of mobility. The project created new collaborations and projects, increased AI knowledge in the mobility area and created synergies with existing initiatives and resources. The project was based on active participation from all parties, a needs-driven approach and cross-linking of AI and mobility competencies.

This is how the project worked

The majority of the investment were carried out in focus groups where mobility actors and AI experts gathered to jointly create project ideas and build knowledge. The project financed a number of feasibility studies that will lead to full-scale projects in the area.

AI Enhanced Mobility, a strategic and in-depth collaboration between AI Sweden, Drive Sweden, SAFER and CLOSER. By bringing together strong networks and knowledge nodes within AI, Mobility, Traffic Safety and Freight Transport, the conditions were created for competence in the mobility area and the AI area to be cross-linked and for domain knowledge to be interconnected. The collaboration also enabled completely new collaborations and contacts to be made possible, both nationally and internationally.

The project have:

• Generated relevant AI projects
• Developed a long-term plan for the future including financing, actors etc.
• Expanded and built further network of organizations from the AI and mobility field, such as representing the private sector, academia and the public sector
• Created increased knowledge and awareness of AI and its potential for the mobility sector
• Conducted structured monitoring of the environment and linked up with relevant actors in order to
• Created synergies