Autonomous inland waterway transport for a safer and sustainable tomorrow: The AUTOBarge project
Artikel i vetenskaplig tidskrift, 2025

The AUTOBarge project aimed to upgrade inland waterway transport (IWT) by engaging autonomous and sustainable shipping technologies. Addressing both technical and non-technical challenges, the project stimulated safer, more efficient, and environmentally friendly freight solutions, directly supporting several Sustainable Development Goals (SDGs). The technical results encompassed ship manoeuvring models, collision avoidance algorithms, advanced sensor fusion techniques, and real-time situational awareness for safe navigation in confined waterways. Social, economic, and legal aspects were also explored, including stakeholder mapping, regulatory readiness, and liability in autonomous IWT contexts. A key outcome is the AUTOBargeSim, an open-source MATLAB toolbox for simulating autonomous vessel behaviour, assessing guidance systems, and enabling energy-efficient voyage planning. Technological innovations from the project contribute to reduced emissions, lower road congestion, and improved working conditions by shifting operational tasks onshore. Policy recommendations and regulatory frameworks were proposed to guide the safe and scalable implementation of autonomous barges in Europe. By integrating automation, digitalization, and sustainability, AUTOBarge laid the foundation for a future autonomous IWT with wide societal impact.

innovation

Safe Inland Navigation

Inland Waterway Transport

Sustainability

Autonomous Shipping

Författare

Rana Saha

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Yan Yun Zhang

KU Leuven

Martin Baerveldt

Norges teknisk-naturvitenskapelige universitet

Zhongbi Luo

KU Leuven

Hoang Anh Tran

Norges teknisk-naturvitenskapelige universitet

Amirreza Haqshenas Mojaveri

KU Leuven

Dhanika Mahipala

Norges teknisk-naturvitenskapelige universitet

Chengqian Zhang

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Abhishek Dhyani

TU Delft

Yunjia Wang

KU Leuven

Dhaneswara Al Amien

Nord universitet

Sophie Orzechowski

Universiteit Antwerpen

Camilla Domenighini

Universiteit Antwerpen

Vasso Reppa

TU Delft

Societal Impacts

2949-6977 (ISSN)

Vol. 7 100161

AUTOBarge - European training and research network on Autonomous Barges for Smart Inland Shipping

Europeiska kommissionen (EU) (EC/H2020/955768), 2021-10-01 -- 2025-09-30.

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Ämneskategorier (SSIF 2025)

Annan naturvetenskap

Annan teknik

Infrastruktur

Chalmers maritima simulatorer

DOI

10.1016/j.socimp.2025.100161

Mer information

Senast uppdaterat

2026-04-29