The Intelligent Waterborne Transportation Systems Technical Committee (IWTS-TC) is a sub-committee of the IEEE Intelligent Transportation Systems Society (ITSS). The aim of IWTS -TC is to foster discussion on the research and development of Intelligent Waterborne Transportation Systems. The IWTS -TC focuses on sharing the state-of-the-art design, models, algorithms, simulation, and field implementations of a wide range of IWTS applications in ITS, and identifying the challenges and research needs of the IWTS, aiming to encourage cross-disciplinary collaboration.
Waterborne Transportation Systems (WTS) include both the sea and inland waterways, including locks and bridges, and deep-sea and inland ports and terminals. The vehicles are sea, sea-river and inland vessels. Operations deal with the way the vessels are operated and the procedures set for this purpose include engineering, mechanical devices, financing, laws, regulations and policies. WTS plays an important role in logistics and supply chains of both domestic and international economic activities. Advances in mobile communication, artificial intelligence, data science, and systems engineering technology are increasingly approaching a level of maturity that provides theoretical and practical support to research and management above ships, waterways, infrastructures, and logistics, to increase the efficiency and security of Intelligent Waterborne Transportation Systems (IWTS).
The organizational operation paradigm of the future could be summarized as “shore-based control” supplemented by “ship-based monitoring and watch-keeping” as the new generation of waterborne transportation systems which provide effective support for the high-level cooperation among humans in the loop, ship-based systems, shore-based stations, and cloud servers. Developments in intelligent waterborne transportation systems should aim at information interconnection, co-construction, and systematic innovation to improve intelligence, connectivity, and resilience of the systems.
Accidents such as collisions, groundings, oil spills, and fires that cause severe consequences to the sustainable development of intelligent waterborne transportation have been seen more frequently as traffic becomes more complex and intense. Objective and subjective data can enhance decision-making to control navigational risk and improve waterborne traffic flow safety. Ship route planning is acknowledged as an efficient means by the shipping industry to ensure a ship’s safety, gain more economic benefits, and reduce adverse environmental effects. Novel route planning also considers the ship behavior prediction to coordinate the whole transportation system for the intelligent waterborne transportation system.
The main topics of interest to IWTS-TC include, but are not limited to, the following:
- Methodologies, architectures, and functionalities of IWTS;
- Transport operation, organization, and management of IWTS;
- Infrastructure developments and decision support technologies in IWTS;
- Autonomous navigation, multi-sensor fusion, and remote-control technologies in IWTS;
- Logistics optimization, scheduling technologies, and emerging equipment for IWTS;
- Safety and security of IWTS.
- Xinping Yan, Professor, Wuhan University of Technology, China.
- Carlos Guedes Soares, Professor, University of Lisbon, Portugal.
- Jin Wang, Professor, Liverpool John Moores University, UK.
- Yuliang Cai, Senior Researcher, China Classification Society, China.
- Bettar El Moctar, Professor, University of Duisburg-Essen, Germany.
- Xiuju Fu, Senior Scientist, Agency for Science, Technology and Research, Singapore.
- Axel Hahn, Professor, University of Oldenburg, Germany.
- Spyros Hirdaris, Associate Professor, Aalto University, Finland.
- Haobin Li, Senior Lecturer, National University of Singapore, Singapore.
- Teng Long, Associate Professor, University of Cambridge, UK.
- Jakub Montewka, Associate Professor, Gdańsk University of Technology, Poland.
- Rudy R. Negenborn, Professor, Delft University of Technology, The Netherlands.
- Peter Slaets, Professor, KU Leuven, Belgium.
- Angelo P Teixeira, Associate Professor, University of Lisbon, Portugal.
- Ingrid Bouwer Utne, Professor, Norwegian University of Science and Technology, Norway.
- Nikolaos P. Ventikos, Associate Professor, National Technical University of Athens, Greece.
- Hongdong Wang, Associate Professor, Shanghai Jiaotong University, China.
- Tsz Leung Yip, Associate Professor, Hong Kong Polytechnic University, China.
- Di Zhang, Professor, Wuhan University of Technology, China.
Jialun Liu, Associate Professor, Wuhan University of Technology, China.