About
11
Publications
744
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139
Citations
Introduction
Dr. Chen’s research interests include maritime decarbonisation, alternative marine fuels, machine learning, etc. Dr. Chen serves as the managing guest editor of Transportation Research Part D: Transport and Environment. Dr. Chen has an interest in supervising Ph.D. students in maritime studies. If you are interested, please send your CV to Zhongshuo.Chen@xjtlu.edu.cn.
Current institution
Education
July 2018 - May 2023
July 2017 - June 2018
September 2010 - July 2014
Publications
Publications (11)
Hydrogen fuel cell has benefits in reducing greenhouse gas emissions and air pollutants. This study conducts Life Cycle Assessment to evaluate the environmental impact of two power systems (hydrogen fuel cells and diesel engines) in tugboats. Results indicate evident reduction potential in global warming (83.9–85%), acidification (45%), eutrophicat...
The maritime industry is integral to global trade and heavily depends on precise forecasting to maintain efficiency, safety, and economic sustainability. Adopting deep learning for predictive analysis has markedly improved operational accuracy, cost efficiency, and decision-making. This technology facilitates advanced time series analysis, vital fo...
Automatically detecting anomalous vessel behaviour is an extremely crucial problem in intelligent maritime surveillance. In this paper, a deep learning-based unsupervised method is proposed for detecting anomalies in vessel trajectories, operating at both the image and pixel levels. The original trajectory data is converted into a two-dimensional m...
Fuel consumption influences both the economic and environmental perspectives of shipping. With the help of
machine learning, meaningful knowledge and complex relationships can be extracted from high-dimensional
historical data. In this study, machine learning models were developed to predict the fuel consumption of
harbour vessels with ship-related...
