Automated Data-driven Decision-making Supporting Autonomous Transport (ADDSAT)
Research Project, 2025
– 2026
A transition to autonomous truck transport is anticipated alongside rising automation in production and warehousing. Without people to convey information and make decisions, these processes would need to be managed automatically. Knowledge is currently lacking regarding how decision-making can be automated and regarding which data should be used as input to the decisions. The project will therefore provide answers to the following two research questions:
•#1 Which are the decisions that need to be made in an autonomous truck transport setup to enable smooth and reliable pick-ups and drop offs?
•#2 Which data are required to support automated data-driven decisions that enable smooth and reliable pick-ups and drop offs in an autonomous truck transport setup?
Additionally, the project will give insights into technologies can be used, and these are planned to receive further attention in future project, building on this one.
Participants
Robin Hanson (contact)
Chalmers, Technology Management and Economics, Supply and Operations Management 00
Tarun Agrawal
Chalmers, Technology Management and Economics, Supply and Operations Management 00
Dan Andersson
Chalmers, Technology Management and Economics, Supply and Operations Management 00
Collaborations
University of Gothenburg
Gothenburg, Sweden
Funding
Chalmers Area of Advance Transport
Funding Chalmers participation during 2025–2026
Related Areas of Advance and Infrastructure
Transport
Areas of Advance