Applied AI for Connected and Autonomous Transportation Systems
Research Project, 2022
– 2023
Purpose and goal
The project aimed to integrate Applied AI into connected and autonomous transport systems. We´ve successfully met our goals by publishing key research, fostering international collaboration, and advancing industry standards, reflecting Vinnova´s vision for innovation in Swedish transport technology.
Expected results and effects
The project delivered groundbreaking research and established new collaborations. Expected outcomes include enhanced AI application in the transport sector and bolstered Sweden´s international standing in autonomous systems.
Planned approach and implementation
The project´s structure and execution were marked by a methodical approach. AI technologies were trialed in both simulated and real-world settings, ensuring pertinent and reliable results. The analysis affirmed the project´s progress and fulfillment of objectives.
Funding: Vinnova - SEK 335,000
External link: https://www.vinnova.se/en/p/applied-ai-for-connected-and-autonomous-transportation-systems/
Participants
Yang Liu (contact)
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Collaborations
University of Wisconsin Madison
Madison, United States
Funding
VINNOVA
Project ID: 2022-02828
Funding Chalmers participation during 2022–2023
Related Areas of Advance and Infrastructure
Transport
Areas of Advance