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

Publications

More information

Latest update

2024-04-12