HADES: A Multi-Agent Platform to Reduce Congestion Anchoring Based on Temporal Coordination of Vessel Arrivals—Application to the Multi-Client Liquid Bulk Terminal in the Port of Cartagena (Spain)

Kang

et al. 2023

JMSE

Jinhae Bay in South Korea is a common typhoon shelter, but there are no established criteria for the area or vessel capacity. The aim of this study was to determine the optimal capacity and arrangement of typhoon shelters for vessels in the sea area surrounding Jinhae Bay. The study identified several areas that could serve as typhoon shelters and conducted a survey with experienced VTS operators and ship operators to identify the best typhoon avoidance areas. The study found that the Japanese and Spanish design criteria for anchoring in strong winds were useful in computing the optimal capacity of typhoon shelters. A nesting algorithm based on the genetic algorithm and the No-Fit-Polygon theory was used to optimize the arrangement of shelters. The study found that the Jinhae Bay typhoon shelter can be effectively managed by arranging shelter-seeking vessels based on the nesting algorithm. The study contributes to supporting quantitative methodology-based decision-making and has practical significance for managing typhoon shelters in the Jinhae Bay area. Further research is needed to evaluate the proposed arrangement plan for typhoon shelters and confirm the validity of the results through simulation and practical implementation. Additionally, the time complexity for vessels to approach the anchorage should be considered in future studies.

Section: Literature Reviewmentioning

confidence: 99%

Deriving Optimal Capacity for Typhoon Shelters—An Analysis of the Jinhae Bay Typhoon Shelter in South Korea

Kang

et al. 2023

JMSE

“…Mnasri et al presented a set of techniques involving the negotiation protocol, the multi-agent interactions and Worst-Fit arrangement technique to propose a detailed modeling of the discrete and dynamic problem of berth allocation in maritime terminals with heuristic and multiagent methodology [24]. Jiménez et al presented a multiagent based software platform named HADES where agents involved in vessel arrivals share meaningful but limited information, which utility leaded to alleviate the potential congestion in multi-client liquid bulk terminals and the overall reduction in congestion anchoring [25].…”

Section: B Application Of Agent Technologies In Port Planningmentioning

confidence: 99%

Study on Distributed Consistent Cooperative Control of Multi-ART in Automated Container Terminals

Yang

Tang

et al. 2022

IEEE Access

In order to address the congestion problem of vehicles in quay of automated container terminal with parallel layout and side-loading operations, the study regards the terminal operation system as a multiagent system (MAS), and proposes a dynamic cooperative speed control schema of multi-ART(Artificial Intelligence Robot of Transportation, ) for the purpose of smart and distributed traffic control of container terminals. Via the real-time data interchange and message passing with ART group, the individual ART implements the collaborative speed regulation with the combination of the dynamic speed regulation strategy, so as to adjust the sequence of ARTs arriving at the quay which can decrease the waiting time of ARTs at the quay. Considering the consistency problem of individual and group agent among the dynamic speed regulation of ARTs, a novel distributed consensus protocol is established to assure that the individual status of ART will tend to converge basically during the collaborative speed regulation process, and the convergence of system can be guaranteed. Based on the case of automated container terminal of Tianjin Port, the paper establishes a multi-agent based simulation model, and simulates the decision-making process, and validates the effectiveness of mentioned model and strategy. The results demonstrate that the strategy can decrease the waiting time of ARTs under uncertainty environment of port and improve the operation efficiency of system.

“…Authors in [25] introduces a multi-user model in the port of Cartagena in Spain to resolve the BAP by reducing the delays of serving ships. The indicated port was a liquid bulk terminal characterized by a little number of quays.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Modeling of the Discrete and Dynamic Problem of Berth Allocation in Maritime Terminals

Mnasri

Alrashidi

2021

Electronics

In this study, the discrete and dynamic problem of berth allocation in maritime terminals, is investigated. The suggested resolution method relies on a paradigm of optimization with two techniques: heuristic and multi-agent. Indeed, a set of techniques such as the protocol of negotiation named contract net, the multi-agent interactions, and Worst-Fit arrangement technique, are involved. The main objective of the study is to propose a solution for attributing m parallel machines to a set of activities. The contribution of the study is to provide a detailed modeling of the discrete and dynamic berth allocation problem by establishing the corresponding models using a multi-agent methodology. A set of numerical experiments are detailed to prove the performance of the introduced multi-agent strategy compared with genetic algorithm and tabu search.