Autonomous inland waterway transport for a safer and sustainable tomorrow: The AUTOBarge project
Journal article, 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

Author

Rana Saha

Chalmers, Mechanics and Maritime Sciences (M2), Maritime Studies

Yan Yun Zhang

KU Leuven

Martin Baerveldt

Norwegian University of Science and Technology (NTNU)

Zhongbi Luo

KU Leuven

Hoang Anh Tran

Norwegian University of Science and Technology (NTNU)

Amirreza Haqshenas Mojaveri

KU Leuven

Dhanika Mahipala

Norwegian University of Science and Technology (NTNU)

Chengqian Zhang

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Abhishek Dhyani

Delft University of Technology

Yunjia Wang

KU Leuven

Dhaneswara Al Amien

Nord University

Sophie Orzechowski

University of Antwerp

Camilla Domenighini

University of Antwerp

Vasso Reppa

Delft University of Technology

Societal Impacts

2949-6977 (ISSN)

Vol. 7 100161

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

European Commission (EC) (EC/H2020/955768), 2021-10-01 -- 2025-09-30.

Driving Forces

Sustainable development

Areas of Advance

Transport

Subject Categories (SSIF 2025)

Other Natural Sciences

Other Engineering and Technologies

Infrastructure

Chalmers Maritime Simulators

DOI

10.1016/j.socimp.2025.100161

More information

Latest update

4/29/2026