Motions Effect for Crowd Modeling Aboard Ships

Κώστας, Κωνσταντίνος; Ginnis, Aai; Politis, C. G.; Kaklis, Panagiotis

doi:10.1007/978-3-319-02447-9_69

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…e.g. Galea (2014); Kostas et al (2014); Schneider and Könnecke (2007)), e.g. walking towards a goal, taking the nearest exit, avoiding obstacles or following leaders.…”

Section: Introductionmentioning

confidence: 98%

Human Factors in Evacuation Simulation, Planning, and Guidance

Hofinger¹,

Zinke²,

Künzer³

2014

Transportation Research Procedia

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Evacuation research shows growing interest in human factors and psychology. Before, humans were mostly modelled as homogeneous, without individual emotion, motivation or physical needs. Human factors had mainly been taken into account as physical characteristics or space requirements. In this paper, we give examples of relevant human factors from the literature and our own field research. Human factors include physical, cognitive, motivational and social variables. As yet, there is no validated set of variables most relevant for safe and fast evacuation. Models for classifying human factors from other domains are introduced for use in future research.

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“…e.g. Galea (2014); Kostas et al (2014); Schneider and Könnecke (2007)), e.g. walking towards a goal, taking the nearest exit, avoiding obstacles or following leaders.…”

Section: Introductionmentioning

confidence: 98%

Human Factors in Evacuation Simulation, Planning, and Guidance

Hofinger¹,

Zinke²,

Künzer³

2014

Transportation Research Procedia

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“…Vassalos [11,12] used EVI software to analyze the influence of passenger speed on evacuation time. Ginnis et al [13][14][15] developed the Virtual Environment for Life on Ships system and evaluated the influence of ship motion on the evacuation characteristics of passengers by the system. Meyer-König et al [16] studied the influence of the trim and pitch angles on pedestrian movement by using AENEAS software to build the passenger evacuation model of a RoPax ship.…”

Section: Introductionmentioning

confidence: 99%

Research on the Evacuation Characteristics of Cruise Ship Passengers in Multi-Scenarios

Cai

2022

Applied Sciences

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As a popular way of travelling on water, cruise tourism is welcomed by the public. The cruise ship, as a large water-borne city, can accommodate a large number of passengers, but simultaneously their safety should be ensured in the event of an emergency. This work studied the evacuation characteristics of passengers by analyzing evacuation processes in multiple scenarios on cruise ships. Four typical evacuation scenarios were established, and the initial parameters of passengers were defined by creating a passenger agent. Simulation experiments were carried out for these scenarios, and the results show that groups of passengers need more time to complete the evacuation than individual passengers. The number of passengers arriving at the embarkation area in one time period under the group evacuation scenario is less than that under the individual evacuation scenario. However, the peak period of arrival at the embarkation area under the group evacuation scenario lasts longer than that under the individual evacuation scenario. For passengers with slower walking speeds, they may complete the evacuation in a shorter time as long as their cabins are near the embarkation deck or in the suitable main vertical zones. This proves that the evacuation efficiency of passengers is affected by their initial positions, and evacuation time can be reduced by means of the allocation of cabins according to the movement characteristics of passengers.

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“…during a simulation. Kostas et al (2015) used the Neumann-Kelvin formulation and the boundary element method (BEM) to simulate the wave-making resistance.…”

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confidence: 99%

Optimization Approach for a Catamaran Hull Using CAESES and STAR-CCM+

Zhang

Kim

2020

J. Ocean Eng. Technol.

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Simulation-driven design is one of the most important methods for ship optimization. With the development of computer-aided design technology, research on hull shape optimization through computer simulation has gradually been applied to design more energy-efficient and environmentally friendly ships. In the preliminary design stage, it is very important to optimize the hydrodynamic characteristics of the hull form. As computers speed up and memory grows, researchers are experimenting more with Computer Aided Design (CAD) and simulation (CFD) methods. Due to the complex geometry shape of a ship's hull, it is difficult to use numerical methods to describe it. Therefore, researchers often choose to modify the hull form by making changes to a basic design. Lackenby (1950) developed a method to modify a hull by controlling the position of the center of buoyancy and shifting the section curves. Since then, the Lackenby method has been widely used in hull modification. In recent years, there have mainly been two popular ways of modifying a bulbous bow geometry: parametric modeling and the Free-Form Deformation (FFD) method. Chrismianto and Kim (2014) used a Cubic Bezier curve and curve-plan intersection methods to generate a parametric bulbous bow. Luo and Lan (2017) used a B-Spline curve and NURBS curve to generate a parametric bulbous bow in the CAD-CFD integration platform CAESES. Plug-in software called Grasshopper was used to generate a parametric bulbous bow from a few vertexes and NURBS curves. The wave-making resistance of a ship hull depends largely on the bow part (the area between the stem and mid-ship). It is efficient to optimize the bow part of a ship to reduce the wave-making resistance. The bulbous bow and the hull between the bulbous bow and mid-ship are two main parameters to optimize. Different governing equations are used in a CFD solver to predict a ship hull's hydrodynamic performance. One of the most popular methods is the Reynolds averaged Navier-Stokes (RANS) method. Zhang et al. (2018) used the RANS method to calculate the total resistance in an optimization framework (Park et al., 2019; Kim et al., 2019). Usually, hundreds of simulations are carried out in an optimization process, and the hydrodynamic performance prediction can be quite a time consuming. Researchers have tried different ways to reduce the computing time. Han et al. (2012) selected a non-linear potential flow using the Rankine panel method to predict trim and sink

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Motions Effect for Crowd Modeling Aboard Ships

Cited by 4 publications

References 5 publications

Human Factors in Evacuation Simulation, Planning, and Guidance

Human Factors in Evacuation Simulation, Planning, and Guidance

Research on the Evacuation Characteristics of Cruise Ship Passengers in Multi-Scenarios

Optimization Approach for a Catamaran Hull Using CAESES and STAR-CCM+

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