Challenges and Opportunities of Maritime Transport in the Post-Epidemic Era

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 5247

Special Issue Editors

College of Transport and Communications, Shanghai Maritime University, Shanghai, China
Interests: maritime; transportation; short sea shipping
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Guest Editor
School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China
Interests: port and shipping governance; sustainable transportation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since the outbreak of COVID-19 epidemic, the demands for maritime transport has experienced unprecedented fluctuations. The demand for maritime transport has dropped rapidly after reaching its peak, but has not yet stabilized. There are several basic problems in the analysis and modeling of maritime transport in the post-epidemic era that deserve further study. The purpose of this study is to explore the challenges and opportunities of maritime transport in the post-epidemic era (especially engineering and technology), and to elaborate the basic theory, technical methods, field practice and technical frontier of optimization modeling. This research topic will collect comprehensive review articles and original research articles of any scientific work and basic research, including the theme of "challenges and opportunities of maritime transport in the post-epidemic era".

  1. Maritime efficient transport infrastructure (emergency response and safe operation)
  2. Maritime intelligent transport systems (port automation and ship visualization)
  3. Environmental risks in maritime transport (vessel-source pollution and ecological port)

Dr. Lang Xu
Dr. Guangnian Xiao
Guest Editors

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Keywords

  • COVID-19 epidemic
  • maritime transport
  • challenge
  • opportunity

Published Papers (2 papers)

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Research

18 pages, 528 KiB  
Article
Network Disruptions and Ripple Effects: Queueing Model, Simulation, and Data Analysis of Port Congestion
by Summer Guo, Haoqing Wang and Shuaian Wang
J. Mar. Sci. Eng. 2023, 11(9), 1745; https://doi.org/10.3390/jmse11091745 - 05 Sep 2023
Viewed by 970
Abstract
Disruptions often happen to ports and cause varying degrees of port congestion. This study employs a queueing model to investigate network disruption and the resultant ripple effects in the global transportation system. We first propose an algorithm to solve the queueing model. Based [...] Read more.
Disruptions often happen to ports and cause varying degrees of port congestion. This study employs a queueing model to investigate network disruption and the resultant ripple effects in the global transportation system. We first propose an algorithm to solve the queueing model. Based on the queueing model, we obtain analytical results or propose hypotheses regarding the mechanism under disruptions. We further conduct simulations to examine the analytical results and hypotheses. Three key findings in this study are: (1) disruptions in the small port lead to a longer round-trip time compared to those in the large port; (2) herding behavior in the transportation system causes heavier congestion and also produces more emissions; and (3) major-rare disruptions cause a longer waiting time at both the port under disruption and other ports of call in the transportation system. These insights can help operators understand the mechanism of disruptions and put in place countermeasures. Full article
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27 pages, 9153 KiB  
Article
Distributed Event-Triggered Fixed-Time Leader–Follower Formation Tracking Control of Multiple Underwater Vehicles Based on an Adaptive Fixed-Time Observer
by Shun An, Yang Liu, Xiaoyuan Wang, Zhimin Fan, Qiang Zhang, Yan He and Longjin Wang
J. Mar. Sci. Eng. 2023, 11(8), 1522; https://doi.org/10.3390/jmse11081522 - 30 Jul 2023
Cited by 1 | Viewed by 886
Abstract
This paper focuses on the fixed-time leader–follower formation control of multiple underwater vehicles (MUVs) in the presence of external disturbances. First, an adaptive fixed-time disturbance observer (AFxDO) is developed to deal with unknown time-varying environmental disturbances. The developed AFxDO guarantees the fixed-time convergence [...] Read more.
This paper focuses on the fixed-time leader–follower formation control of multiple underwater vehicles (MUVs) in the presence of external disturbances. First, an adaptive fixed-time disturbance observer (AFxDO) is developed to deal with unknown time-varying environmental disturbances. The developed AFxDO guarantees the fixed-time convergence property of the disturbance observation error and no prior information on the external disturbances or their derivatives is required. Then, with the aid of the developed AFxDO, a distributed event-triggered fixed-time backstepping controller was developed to achieve the leader–follower formation tracking control of MUVs. To solve the “explosion of complexity” problem inherent in the conventional backstepping, a nonlinear filter is introduced to obtain the derivative of the virtual control law. Furthermore, to reduce the communication burden, the event-triggered mechanism is integrated into the formation tracking controller. The stability analysis shows that the closed-loop MUV system is practical fixed-time stable. Finally, simulation results demonstrate the effectiveness of the proposed scheme. Full article
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