Jingyun Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jingyun Wang has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Xinyu Zhang
Dalian Maritime University
3 shared publications - Wenqiang Guo
Dalian Maritime University
2 shared publications Chengbo Wang
University of Science and Technology of China
1 shared publication- Hongxiang Feng
Ningbo University
1 shared publication Nyamatari Anselem Tengecha
1 shared publication- Nyamatari Anselem Tengecha
College of Navigation, Dalian Maritime University, Dalian 116026, China
1 shared publication
Latest Publications
- 15 September 2025
- Published by Taylor & Francis in Ships and Offshore Structures
- p. 1-16
A new model of intelligent traffic organization service for channel systems based on the concept of e-navigation
- 15 September 2025
- Published by Taylor & Francis in Ships and Offshore Structures
- p. 1-16
A new model of intelligent traffic organization service for channel systems based on the concept of e-navigation
- 4 May 2023
- Published by Elsevier in Advanced Engineering Informatics
- Vol. 56
Disruption management-based coordinated scheduling for vessels and ship loaders in bulk ports
- 4 May 2023
- Published by Elsevier in Advanced Engineering Informatics
- Vol. 56
Disruption management-based coordinated scheduling for vessels and ship loaders in bulk ports
- Open Access
- 4 December 2022
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 10 (12) , 1889
Traffic Organization Service for Maritime Autonomous Surface Ships (MASS) with Different Degrees of Autonomy
Maritime Autonomous Surface Ships (MASS) have been an important direction for the development of intelligent shipping. However, most current international research on MASS focuses on navigation assistance technologies such as perception and decision-making, ignoring MASS’s traffic organization and management. The traffic organization service (TOS) under the e-Navigation strategy also has not researched MASS. In this paper, we propose the notion of on-demand service to MASS with different degrees of autonomy (DoA) and develop a new maritime service (MS) applicable to the MASS with various (DoA) following the e-Navigation technical architecture. We first analyze MASS requirements with different degrees of autonomy in traffic organization to define the service information. Then, based on the traditional TOS, we developed the MASS traffic organization service (MTOS), consisting of an operational architecture, five subsystems, and four services. In particular, we proposed a phased service trigger mechanism to solve the problem of publishing untimely and redundant service information. Tianjin port and Huanghua port were selected as cases study for simulation experiments; the study finding revealed that MTOS could provide standardized, accurate, and efficient traffic organization service for MASS with different degrees of autonomy on demand. The contribution can be applied in the port operation to improve traffic safety.
- 4 December 2022
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 10 (12) , 1889
Open AccessTraffic Organization Service for Maritime Autonomous Surface Ships (MASS) with Different Degrees of Autonomy
Maritime Autonomous Surface Ships (MASS) have been an important direction for the development of intelligent shipping. However, most current international research on MASS focuses on navigation assistance technologies such as perception and decision-making, ignoring MASS’s traffic organization and management. The traffic organization service (TOS) under the e-Navigation strategy also has not researched MASS. In this paper, we propose the notion of on-demand service to MASS with different degrees of autonomy (DoA) and develop a new maritime service (MS) applicable to the MASS with various (DoA) following the e-Navigation technical architecture. We first analyze MASS requirements with different degrees of autonomy in traffic organization to define the service information. Then, based on the traditional TOS, we developed the MASS traffic organization service (MTOS), consisting of an operational architecture, five subsystems, and four services. In particular, we proposed a phased service trigger mechanism to solve the problem of publishing untimely and redundant service information. Tianjin port and Huanghua port were selected as cases study for simulation experiments; the study finding revealed that MTOS could provide standardized, accurate, and efficient traffic organization service for MASS with different degrees of autonomy on demand. The contribution can be applied in the port operation to improve traffic safety.