A ship egress analysis method using spectral Markov decision processes

Austin Kana; D.J. Singer

A ship egress analysis method using spectral Markov decision processes

Ship Design, Production and Operations

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

114 Downloads (Pure)

Abstract

This paper introduces a means of performing a ship egress analysis by applying eigenvalue analysis to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on how people egress, the decisions they make under uncertainty, and the interaction between the individuals and the layout of the vessel. The objective is to understand the implications of uncertain decision making of people on general arrangement design. One metric is introduced defined as the ratio between the largest eigenvalue and the second largest. This
decision metric is used to identify and quantify changes in decisions, as well as to help identify system attributes driving those changes in decisions. A case study is presented showing the utility of this method on a ship egress problem. Sensitivity studies are performed examining the affect of uncertainty and rewards on individuals’ decision making behavior

Original language	English
Title of host publication	Proceedings of the 13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS2016)
Editors	U.D. Nielsen, J.J. Jensen et al
Place of Publication	Copenhagen, Denmark
Publisher	PRADS Organising Committee
Number of pages	8
ISBN (Print)	978-87-7475-473-2
Publication status	Published - 2016
Event	International Symposium on Practical Design of Ships and Other Floating Structures, PRADS'2016 - Copenhagen, Denmark Duration: 4 Sept 2016 → 8 Sept 2016 Conference number: 13 http://www.prads2016.dk/

Conference

Conference	International Symposium on Practical Design of Ships and Other Floating Structures, PRADS'2016
Abbreviated title	PRADS'2016
Country/Territory	Denmark
City	Copenhagen
Period	4/09/16 → 8/09/16
Internet address	http://www.prads2016.dk/

Keywords

Ship design
decision making
egress analysis
Markov decision process
eigenvalue analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "A ship egress analysis method using spectral Markov decision processes",

abstract = "This paper introduces a means of performing a ship egress analysis by applying eigenvalue analysis to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on how people egress, the decisions they make under uncertainty, and the interaction between the individuals and the layout of the vessel. The objective is to understand the implications of uncertain decision making of people on general arrangement design. One metric is introduced defined as the ratio between the largest eigenvalue and the second largest. Thisdecision metric is used to identify and quantify changes in decisions, as well as to help identify system attributes driving those changes in decisions. A case study is presented showing the utility of this method on a ship egress problem. Sensitivity studies are performed examining the affect of uncertainty and rewards on individuals{\textquoteright} decision making behavior",

keywords = "Ship design, decision making, egress analysis, Markov decision process, eigenvalue analysis",

author = "Austin Kana and D.J. Singer",

year = "2016",

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booktitle = "Proceedings of the 13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS2016)",

publisher = "PRADS Organising Committee",

note = "International Symposium on Practical Design of Ships and Other Floating Structures, PRADS'2016, PRADS'2016 ; Conference date: 04-09-2016 Through 08-09-2016",

url = "http://www.prads2016.dk/",

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Kana, A & Singer, DJ 2016, A ship egress analysis method using spectral Markov decision processes. in UD Nielsen & JJ Jensen et al (eds), Proceedings of the 13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS2016). PRADS Organising Committee, Copenhagen, Denmark, International Symposium on Practical Design of Ships and Other Floating Structures, PRADS'2016, Copenhagen, Denmark, 4/09/16.

A ship egress analysis method using spectral Markov decision processes. / Kana, Austin; Singer, D.J.
Proceedings of the 13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS2016). ed. / U.D. Nielsen; J.J. Jensen et al. Copenhagen, Denmark: PRADS Organising Committee, 2016.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A ship egress analysis method using spectral Markov decision processes

AU - Kana, Austin

AU - Singer, D.J.

N1 - Conference code: 13

PY - 2016

Y1 - 2016

N2 - This paper introduces a means of performing a ship egress analysis by applying eigenvalue analysis to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on how people egress, the decisions they make under uncertainty, and the interaction between the individuals and the layout of the vessel. The objective is to understand the implications of uncertain decision making of people on general arrangement design. One metric is introduced defined as the ratio between the largest eigenvalue and the second largest. Thisdecision metric is used to identify and quantify changes in decisions, as well as to help identify system attributes driving those changes in decisions. A case study is presented showing the utility of this method on a ship egress problem. Sensitivity studies are performed examining the affect of uncertainty and rewards on individuals’ decision making behavior

AB - This paper introduces a means of performing a ship egress analysis by applying eigenvalue analysis to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on how people egress, the decisions they make under uncertainty, and the interaction between the individuals and the layout of the vessel. The objective is to understand the implications of uncertain decision making of people on general arrangement design. One metric is introduced defined as the ratio between the largest eigenvalue and the second largest. Thisdecision metric is used to identify and quantify changes in decisions, as well as to help identify system attributes driving those changes in decisions. A case study is presented showing the utility of this method on a ship egress problem. Sensitivity studies are performed examining the affect of uncertainty and rewards on individuals’ decision making behavior

KW - Ship design

KW - decision making

KW - egress analysis

KW - Markov decision process

KW - eigenvalue analysis

UR - http://resolver.tudelft.nl/uuid:a64363f0-863d-4589-b418-0a9d043640c7

M3 - Conference contribution

SN - 978-87-7475-473-2

BT - Proceedings of the 13th International Symposium on Practical Design of Ships and Other Floating Structures (PRADS2016)

A2 - Nielsen, U.D.

A2 - Jensen et al, J.J.

PB - PRADS Organising Committee

CY - Copenhagen, Denmark

T2 - International Symposium on Practical Design of Ships and Other Floating Structures, PRADS'2016

Y2 - 4 September 2016 through 8 September 2016

ER -

A ship egress analysis method using spectral Markov decision processes

Abstract

Conference

Keywords

UN SDGs

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