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

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.

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Publication Details

Journal
Societal Impacts
Published
2025-12-03
DOI
https://doi.org/10.1016/j.socimp.2025.100161
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Abhishek Dhyani, Vasso Reppa, Dhanika Mahipala, Tran Hoang Anh et al.
Societal Impacts
Maritime Navigation and Safety
article

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

Abhishek Dhyani, Vasso Reppa, Dhanika Mahipala, Tran Hoang Anh, Rana Saha, Sophie C. Orzechowski, Camilla Domenighini, Yanyun Zhang, Chengqian Zhang, Zidong Luo, Dhaneswara Al Amien, Yunjia Wang, Amirreza Haqshenas Mojaveri, Martin Baerveldt
article en

Abstract

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.

Societal ImpactsVol. 7
University of Antwerp (BE), Norwegian University of Science and Technology (NO), Nord University (NO), Chalmers University of Technology (SE), Delft University of Technology (NL), KU Leuven (BE)
Openalex Percentile: Top 53%
Maritime Navigation and Safety
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