We invite you to the final conference of the AI Enhanced Mobility project to share the results of the feasibility studies generated through the project. In addition to presenting the results of the feasibility studies, we have invited some of the best experts on AI to hear more about where we stand today and what challenges in AI we face for the future, and how we can accelerate a positive development. 

AI Enhanced Mobility is a Drive Sweden/Vinnova-funded collaboration project between SAFER, AI Sweden, Malmö University, University of Borås and CLOSER.

For one and a half years, 31 partners have worked together in different focus groups to identify needs, build knowledge and generate joint feasibility studies. The project has financed a number of these feasibility studies within the three focus groups;  efficient freight transport, traffic safety and public transport.

During the conference we will discuss the possibilities of AI in the future, with time for questions and reflections from the participants. 

The conference will be wrapped up with a networking lunch. 

We encourage you to participate at the Digilog focus meeting that will take place in the same room and with the same link right after the networking lunch! We will then further dig into generative AI and how to utilise possiblities that AI can create. 

Agenda

        08.30 Coffe and breakfast is served

• • • Improve traffic safety through advanced and automatic driving evaluations using AI and eye tracking, Ravi Teja Chadalavada, Örebro University
    • Recognition of Vulnarable Road Users, Sepideh Pashami, RISE
      - A project in cooperation between: Rise, Univrses, Viscando
    • AI-based real-time distributed traffic risk assessment, Gunnar Mathiason, Högskolan Skövde
      - A project in cooperation between: Högskolan Skövde, Volvo cars, Smart Eye

        10.10     Short break

• • • Prediction of disruption in public transport, Jonas Järnfeldt, TrainBrain
      - A project in cooperation between: TrainBrain, Västtrafik, Rise, MAU
    • Proactive disturbance information to travelers in public transport, Jonas Järnfeldt, TrainBrain & Johan Holmberg, Malmö University
      - A project in cooperation between: TrainBrain, Malmö universiy

• • • Data-driven decision support for locating pickup locations, David Gundlegård, LIU
      - A project in cooperation between: LIU, iBoxen, Schenker
    • 3D&AI for a safer, smarter and more efficient goods handling in terminals: TRASSEL, Yury Tarakanov, Viscando, Gustav Von Sydow, DB Schenker
      - A project in cooperation between: Viscando, DB Schenker
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    • Safe inclusive traffic infrastructure: data and AI for decision making “SINTIA”, He Tan, Jönköping University
• - A project in cooperation between: Viscando & Jönköping University