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AI Enhanced Mobility

AI Enhanced Mobility

AI Enhanced Mobility was a collaborative project where we collectively built knowledge, experience, and new collaborations within AI application for the sustainable mobility system of the future. The project was crucial for applying AI in the field of mobility and deepening collaborations between AI and mobility actors. The vision was for Sweden to take a leading role in the development of a future mobility system for people and goods that is sustainable, safe, and accessible to everyone.

Discover the Highlights from the AI Enhanced Mobility Final Conference

We are delighted to share the exciting results from all projects within AI Enhanced Mobility, presented during the final conference on 7th December 2023. If, for any reason, you were unable to attend in person, a recording is now available for you to access the inspiring insights and progress. Don't miss this opportunity to deepen your understanding of our work and contribute to our collective knowledge base.

What do we want to achieve?

The overall goal of AI Enhanced Mobility is to build experience, knowledge, and new collaborations in applied AI within the mobility system to create conditions and solutions for the sustainable mobility system of the future.
At the end of the project period, the project should:

  • Generate more projects in AI
  • Create a long-term plan to take the solutions within the project go further
  • Expand and build a network of organizations from the AI ​​and mobility field, representing the private sector, academia, and public sector
  • Create increased knowledge and awareness of AI and its potential for the mobility sector


In the first phase of AI-driven mobility, the great potential of Artificial Intelligence (AI) to improve the efficiency and societal benefit of the mobility system of the future was very visible. 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 above 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 is an important catalyst for accelerating the development of AI solutions in the field of mobility. The project creates new collaborations and projects, increases AI knowledge in the mobility area, and creates synergies with existing initiatives and resources. The project is based on active participation from all parties, a needs-driven approach, and cross-linking of AI and mobility competencies.


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

AI Enhanced Mobility is 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 are 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 enables completely new collaborations and contacts to be made possible, both nationally and internationally.

AI Enhanced Mobility was financed via Drive Sweden, a joint venture by Vinnova, Formas and the Swedish Energy Agency.

Parties in the project were: Asymptotic AB, Chalmers University of Technology, China-Euro Vehicle Technology AB (CEVT), Conzens AB, Embedl AB, Halmstad University, Iboxen, Lindholmen Science Park AB, Linköping University, Malmeken AB, Malmö University, Region Örebro, RISE AB, Schenker AB, Smart Eye AB, SSPA, Svanberg and Svanberg, VTI, Technolution AB, Technical University of Jönköping AB, The Train Brain, Trafikverket, Universes, University of Borås, University of Skövde, Viscando AB, Volvo Cars, Volvo Group, Västtrafik AB, Zenseact & Örebro University.

Take part in project results

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Safe inclusive traffic infrastructure: data and AI for decision making (SINTIA)

Discover more about this AI project, spotlighting pedestrian behavior at school crossings in Jönköping. Through robust collaboration, the project has introduced innovative technologies and insights...

Prediction of disruption in public transportation

Discover more about this AI work within public transportation disruption management. Here, the exploration revolves around the ability to predict primary disruptions and real-time deviations from...

Data-driven decision support for the localization of pickup points

Increased e-commerce is impacting urban logistics and residents' movement patterns. Last-mile deliveries, particularly associated with e-commerce, are becoming increasingly significant. To streamline...

Improve traffic safety through advanced and automatic driving evaluations using AI and eye tracking

The purpose of the project is to enhance road safety through advanced and automated driving assessments using AI and eye tracking.

Recognition of Vulnarable Road Users

The purpose of the project is to get an understanding the intentions of road users such as pedestrians, cyclists, and scooter drivers around bus stops to improve safety in road traffic.

3D & AI for safer, smarter, and more efficient cargo handling in terminals

TRASSEL's real-time technology and efficient AI methods provide strategic decision-making, rapid adaptation, and automated control for a more efficient terminal operation. DB Schenker prioritises...
Volvo cars

AI-based real-time distributed traffic risk assessment

The feasibility study has clarified the needs for scaling up an existing cloud architecture for proactive security, which collects data from various sources. The objective is to create a composite...

Proactive disruption information for public transportation passengers

This project has aimed to understand the best approach to formatting a study exploring how proactive disruption information can be generated, presented, and tested among a group of travelers within...

If you have questions, don't hesitate to get in touch

Anna Kristiansson

Anna Kristiansson

Deputy Program Manager & Senior Project Manager
ai driven mobilitet

AI Driven Mobility

The goal of the project is to create a network for organizations and individuals that can drive change in sustainable mobility, and increase knowledge and awareness of AI and its potential for the...