A Virtual Environment for Decision Support in Ship Damage Control

Varela, J.M.; Soares, Cláudia

doi:10.1109/mcg.2007.74

Cited by 22 publications

(10 citation statements)

References 7 publications

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“…It can be deduced that the decision will be changed in terms of the probability of

I_{s}^{f}

. Hence, the probability

P (I_{s}^{f})

is (0.5, 0.6, 0.7, 0.8, 0.9, 1.0) to discover the decision with incomplete information, and the corresponding entropy of the former organization is denoted as z = = H (0.5), H (0.6), H (0.7), H (0.8), H (0.9), H (1.0). Next, the result of the comprehensive evaluation of the options with incomplete information can be integrated.…”

Section: Methodology: a Three‐stage Decision‐making Modelmentioning

confidence: 99%

“…Crisis and emergency management have been attracting considerable attention in scientific research fields worldwide, and emergency preparedness has proved to be essential in natural disasters and nuclear emergency response . Ship emergency management also plays a crucial role in damage control in the shipping industry . The knowledge‐based system proposed by Calabrese et al .…”

Section: Introductionmentioning

confidence: 99%

“…can assist with handling dangerous events and accidents effectively. Varela et al . established a virtual environment for ship damage control in emergency responses to flooding, fire, and contamination.…”

Section: Introductionmentioning

confidence: 99%

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Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Yan

Wang

et al. 2017

Risk Analysis

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A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three-stage decision-making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well-organized management of NUC ships.

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“…It can be deduced that the decision will be changed in terms of the probability of

I_{s}^{f}

. Hence, the probability

P (I_{s}^{f})

Section: Methodology: a Three‐stage Decision‐making Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Yan

Wang

et al. 2017

Risk Analysis

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show abstract

“…However, these simulation systems manages to promote the ability of ship maneuvering, while only a few attention have been focused on the emergency response to ships after maritime accidents. Varela (et al 2007) proposed a virtual environment for the ship damage control; moreover, they also presented a simulation system for the ship flooding recently (Varela et al, 2014).…”

Section: Emergency Maritime Simulation Systemmentioning

confidence: 99%

Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects

Yan

Zhang

et al. 2017

TransNav

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Maritime accidents have received considerable attentions due to the enormous property damage, casualties and serious environmental pollution. This paper first makes statistical analysis of the different types of maritime accidents in the period of 2012 to 2014 in the Yangtze River. Second, the problems of emergency management of maritime accidents are also proposed from the analysis of the major accident "Eastern Star".. Afterwards, four practice cases, including decision support for maritime accidents, emergency resource allocation, emergency simulation system and effectiveness of emergency management, are introduced to present the insights gained from these practices. Last, in order to address these problems, this paper proposes that an artificial societies, Computational experiments, and Parallel execution (ACP) approach should be introduced to establish an improved management system for maritime accidents in the future, and an ACP based maritime accident emergency management framework is proposed.

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“…Many researches are concerned about The spatiotemporal database technology in the field of ship damage control. [4][5] studied the temporal model design methods on ship damage control system, and proposed a prototype system to prove the feasibility of the methods. [6][7] discussed damage control decision support system based on GIS.…”

mentioning

confidence: 99%

Ship Damage Control as a Service Based on Spatio-temporal Database

Zheng

Deng

Zhu

2014

2014 IEEE International Conference on Cloud Engineering

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To solve the increasingly prominent contradiction between the traditional damage control and the demand of high efficiency and reliability of ship system, a ship damage control system based on spatio-temporal database is presented and accomplished with cloud solution. A path planning algorithm based on Dijkstra is proposed to meet the dynamic road network as in the fire rescue scenario. The binary group is adopted to describe the weight of the path, and path network is pruning to reduce nodes accessed in advance. The simulation results show that the proposed algorithm improves the efficiency, capacity, intelligence and user experience, and provide efficient support for assistant decision-making.

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A Virtual Environment for Decision Support in Ship Damage Control

Cited by 22 publications

References 7 publications

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects

Ship Damage Control as a Service Based on Spatio-temporal Database

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