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Jinhai Chen, Siheng Chang, Pengfei Zhang, Qiong Chen, Peng Peng and Christophe Claramunt
Big Data Analytics (BDA) provides valuable opportunities for the optimization of maritime shipping management and operations. This might have a significant and beneficial impact on the Chinese maritime industry, which has recently emerged as a prominent ...
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Jufu Zhang, Xujie Ren, Huanhuan Li and Zaili Yang
Automatic Identification System (AIS) equipment can aid in identifying ships, reducing ship collision risks and ensuring maritime safety. However, the explosion of massive AIS data has caused increasing data processing challenges affecting their practica...
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Manolis Maragoudakis
Marine transportation in Aegean Sea, a part of the Mediterranean Sea that serves as gateway between three continents has recently seen a significant increase. Despite the commercial benefits to the region, there are certain issues related to the preserva...
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Manolis Maragoudakis
Marine transportation in Aegean Sea, a part of the Mediterranean Sea that serves as gateway between three continents has recently seen a significant increase. Despite the commercial benefits to the region, there are certain issues related to the preserva...
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João N. Ribeiro da Silva, Tiago A. Santos and Angelo P. Teixeira
This paper develops a methodology to estimate ship emissions using Automatic Identification System data (AIS). The methodology includes methods for AIS message decoding and ship emission estimation based on the ship?s technical and operational characteri...
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Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
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Weihua Zhu, Shoudong Wang, Shengli Liu, Libo Yang, Xinrui Zheng, Bohao Li and Lixiao Zhang
Maritime accidents, such as ship collisions and oil spills, directly affect maritime transportation, pollute the water environment, and indirectly threaten life and property safety. Predicting the maritime accident susceptibility and taking measures in a...
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Yuanqiao Wen, Axel Hahn, Osiris Valdez Banda and Yamin Huang
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Bakht Zaman, Dusica Marijan and Tetyana Kholodna
The availability of automatic identification system (AIS) data for tracking vessels has paved the way for improvements in maritime safety and efficiency. However, one of the main challenges in using AIS data is often the low quality of the data. Practica...
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Sandi Baressi ?egota, Vedran Mrzljak, Nikola Andelic, Igor Poljak and Zlatan Car
Machine learning applications have demonstrated the potential to generate precise models in a wide variety of fields, including marine applications. Still, the main issue with ML-based methods is the need for large amounts of data, which may be impractic...
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Xinyu Wang and Yingjie Xiao
The rapid growth of ship traffic leads to traffic congestion, which causes maritime accidents. Accurate ship trajectory prediction can improve the efficiency of navigation and maritime traffic safety. Previous studies have focused on developing a ship tr...
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Jun-Hwa Kim, Namho Kim, Yong Woon Park and Chee Sun Won
SMD (Singapore Maritime Dataset) is a public dataset with annotated videos, and it is almost unique in the training of deep neural networks (DNN) for the recognition of maritime objects. However, there are noisy labels and imprecisely located bounding bo...
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Lei Liu, Yong Zhang, Yue Hu, Yongming Wang, Jingyi Sun and Xiaoxiao Dong
A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and anomaly detection. A hybrid clustering model was proposed to increase the efficiency of trajectory clustering in the port area and analyze the maritime traf...
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Shukui Liu, Haoliang Chen, Baoguo Shang and Apostolos Papanikolaou
Ship hull and propeller fouling has a severe impact both on fuel costs and on greenhouse gas emission, thus, it is an important subject to consider when developing a maintenance plan to enhance energy efficiency and reduce gas emissions from ships. This ...
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Dimas Angga Fakhri Muzhoffar, Kunihiro Hamada, Yujiro Wada, Yusuke Miyake and Shun Kawamura
Dynamic changes in the global market demand affect ship development. Correspondingly, big data have provided the ability to comprehend the current and future conditions in numerous sectors and understand the dynamic circumstances of the maritime industry...
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Guo-Ya Gan, Qin Wang and Qian-Feng Wang
In recent years, the global economic situation and the development of the international shipping industry have been deeply affected by COVID-19. Since 2021, China has gradually recovered its international shipping supply chain industry with the help of g...
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Paulius Rapalis, Giedrius ?ilas and Justas ?aglinskis
Ships operating on fossil fuel release pollutant emissions into the atmosphere. Released pollutants have a negative effect on the environment and human health, especially in port cities. For this reason, it is very important to properly evaluate these em...
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Dennis Jankowski, Julius Möller, Hilko Wiards and Axel Hahn
For the investigation of major traffic accidents, larger vessels are obliged to install a voyage data recorder (VDR). However, not every vessel is equipped with a VDR, and the readout is often a manual process that is costly. In addition, not only ship-r...
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Thanapong Chaichana
Pág. 38 - 58
This research aims to characterize the field of maritime computing (MC) transportation, environment, and development. It is the first report to discover how MC domain configurations support management technologies. An aspect of this research is the creat...
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Yunong Zhang, Anmin Zhang, Dianjun Zhang, Zhen Kang and Yi Liang
The platform is applied in the Maritime Silk Road Transport environmental security service system. This system provides global navigation assurance and environmental protection services.
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