Game Theoretic Analysis Of Congestion Safety And Security

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Game Theoretic Analysis of Congestion, Safety and Security

Author : Kjell Hausken,Jun Zhuang
Publisher : Springer
Page : 310 pages
File Size : 46,9 Mb
Release : 2014-12-31
Category : Technology & Engineering
ISBN : 9783319130095

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Game Theoretic Analysis of Congestion, Safety and Security by Kjell Hausken,Jun Zhuang Pdf

Maximizing reader insights into the roles of intelligent agents in networks, air traffic and emergency departments, this volume focuses on congestion in systems where safety and security are at stake, devoting special attention to applying game theoretic analysis of congestion to: protocols in wired and wireless networks; power generation, air transportation and emergency department overcrowding. Reviewing exhaustively the key recent research into the interactions between game theory, excessive crowding, and safety and security elements, this book establishes a new research angle by illustrating linkages between the different research approaches and serves to lay the foundations for subsequent analysis. Congestion (excessive crowding) is defined in this work as all kinds of flows; e.g., road/sea/air traffic, people, data, information, water, electricity, and organisms. Analysing systems where congestion occurs – which may be in parallel, series, interlinked, or interdependent, with flows one way or both ways – this book puts forward new congestion models, breaking new ground by introducing game theory and safety/security into proceedings. Addressing the multiple actors who may hold different concerns regarding system reliability; e.g. one or several terrorists, a government, various local or regional government agencies, or others with stakes for or against system reliability, this book describes how governments and authorities may have the tools to handle congestion, but that these tools need to be improved whilst additionally ensuring safety and security against various threats. This game-theoretic analysis sets this two volume book apart from the current congestion literature and ensures that the work will be of use to postgraduates, researchers, 3rd/4th-year undergraduates, policy makers, and practitioners.

Game Theoretic Analysis of Congestion, Safety and Security

Author : Kjell Hausken,Jun Zhuang
Publisher : Springer
Page : 220 pages
File Size : 55,9 Mb
Release : 2015-01-09
Category : Technology & Engineering
ISBN : 3319116754

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Game Theoretic Analysis of Congestion, Safety and Security by Kjell Hausken,Jun Zhuang Pdf

Maximizing reader insights into the interactions between game theory, excessive crowding and safety and security elements, this book establishes a new research angle by illustrating linkages between different research approaches and through laying the foundations for subsequent analysis. Congestion (excessive crowding) is defined in this work as all kinds of flows; e.g., road/sea/air traffic, people, data, information, water, electricity, and organisms. Analysing systems where congestion occurs – which may be in parallel, series, interlinked, or interdependent, with flows one way or both ways – this book puts forward new congestion models, breaking new ground by introducing game theory and safety/security into proceedings. Addressing the multiple actors who may hold different concerns regarding system reliability; e.g. one or several terrorists, a government, various local or regional government agencies, or others with stakes for or against system reliability, this book describes how governments and authorities may have the tools to handle congestion, but that these tools need to be improved whilst additionally ensuring safety and security against various threats. This game-theoretic analysis sets this book apart from the current congestion literature and ensures that the book will be of use to postgraduates, researchers, 3rd/4th-year undergraduates, policy makers, and practitioners.

Intelligent Transport Systems – From Research and Development to the Market Uptake

Author : Tatiana Kováčiková,Ľuboš Buzna,Ghadir Pourhashem,Giuseppe Lugano,Yannick Cornet,Nathalie Lugano
Publisher : Springer
Page : 302 pages
File Size : 40,9 Mb
Release : 2018-07-06
Category : Computers
ISBN : 9783319937106

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Intelligent Transport Systems – From Research and Development to the Market Uptake by Tatiana Kováčiková,Ľuboš Buzna,Ghadir Pourhashem,Giuseppe Lugano,Yannick Cornet,Nathalie Lugano Pdf

This book constitutes the proceedings of the First International Conference on Intelligent Transport Systems, INTSYS 2107, which was held in Helsinki, Finland, in November 2017. The 30 revised full papers were selected from 47 submissions and are organized in 6 thematic sessions on planning and sustainable transport and smart cities, intelligent rail transport systems, transport modelling and simulation & big data application, ITS safety and security, cooperative ITS and autonomous driving, and intelligent traffic management.

Decision Economics: Minds, Machines, and their Society

Author : Edgardo Bucciarelli,Shu-Heng Chen,Juan M. Corchado,Javier Parra D.
Publisher : Springer Nature
Page : 287 pages
File Size : 41,9 Mb
Release : 2021-08-16
Category : Technology & Engineering
ISBN : 9783030755836

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Decision Economics: Minds, Machines, and their Society by Edgardo Bucciarelli,Shu-Heng Chen,Juan M. Corchado,Javier Parra D. Pdf

This book is the result of a multi-year research project led and sponsored by the University of Chieti-Pescara, National Chengchi University, University of Salamanca, and Osaka University. It is the fifth volume to emerge from that international project, held under the aegis of the United Nations Academic Impact in 2020. All the essays in this volume were (virtually) discussed at the University of L’Aquila―as the venue of the 2nd International Conference on Decision Economics, a three-day global gathering of approximately one hundred scholars and practitioners—and were subjected to thorough peer review by leading experts in the field. The essays reflect the extent, diversity, and richness of several research areas, both normative and descriptive, and are an invaluable resource for graduate-level and PhD students, academics, researchers, policymakers and other professionals, especially in the social and cognitive sciences. Given its interdisciplinary scope, the book subsequently delivers new approaches on how to contribute to the future of economics, providing alternative explanations for various socio-economic issues such as computable humanities; cognitive, behavioural, and experimental perspectives in economics; data analysis and machine learning as well as research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics; agent-based modelling and the related. The editors are grateful to the scientific committee for its continuous support throughout the research project as well as to the many participants for their insightful comments and always probing questions. In any case, the collaboration involved in the project extends far beyond the group of authors published in this volume and is reflected in the quality of the essays published over the years.

Econophysics of the Kolkata Restaurant Problem and Related Games

Author : Bikas K. Chakrabarti,Arnab Chatterjee,Asim Ghosh,Sudip Mukherjee,Boaz Tamir
Publisher : Springer
Page : 208 pages
File Size : 52,7 Mb
Release : 2017-07-19
Category : Business & Economics
ISBN : 9783319613529

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Econophysics of the Kolkata Restaurant Problem and Related Games by Bikas K. Chakrabarti,Arnab Chatterjee,Asim Ghosh,Sudip Mukherjee,Boaz Tamir Pdf

This book provides the first comprehensive introduction to multi-agent, multi-choice repetitive games, such as the Kolkata Restaurant Problem and the Minority Game. It explains how the tangible formulations of these games, using stochastic strategies developed by statistical physicists employing both classical and quantum physics, have led to very efficient solutions to the problems posed. Further, it includes sufficient introductory notes on information-processing strategies employing both classical statistical physics and quantum mechanics. Games of this nature, in which agents are presented with choices, from among which their goal is to make the minority choice, offer effective means of modeling herd behavior and market dynamics and are highly relevant to assessing systemic risk. Accordingly, this book will be of interest to economists, physicists, and computer scientists alike.

Optimization, Learning, and Control for Interdependent Complex Networks

Author : M. Hadi Amini
Publisher : Springer Nature
Page : 306 pages
File Size : 46,5 Mb
Release : 2020-02-22
Category : Technology & Engineering
ISBN : 9783030340940

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Optimization, Learning, and Control for Interdependent Complex Networks by M. Hadi Amini Pdf

This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks • Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.

The Global Airline Industry

Author : Peter Belobaba,Amedeo Odoni,Cynthia Barnhart
Publisher : John Wiley & Sons
Page : 536 pages
File Size : 48,5 Mb
Release : 2015-07-06
Category : Technology & Engineering
ISBN : 9781118881149

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The Global Airline Industry by Peter Belobaba,Amedeo Odoni,Cynthia Barnhart Pdf

Extensively revised and updated edition of the bestselling textbook, provides an overview of recent global airline industry evolution and future challenges Examines the perspectives of the many stakeholders in the global airline industry, including airlines, airports, air traffic services, governments, labor unions, in addition to passengers Describes how these different players have contributed to the evolution of competition in the global airline industry, and the implications for its future evolution Includes many facets of the airline industry not covered elsewhere in any single book, for example, safety and security, labor relations and environmental impacts of aviation Highlights recent developments such as changing airline business models, growth of emerging airlines, plans for modernizing air traffic management, and opportunities offered by new information technologies for ticket distribution Provides detailed data on airline performance and economics updated through 2013

Understanding Real Traffic

Author : Boris S. Kerner
Publisher : Springer Nature
Page : 248 pages
File Size : 50,9 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783030796020

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Understanding Real Traffic by Boris S. Kerner Pdf

This book addresses the reader interested in vehicular traffic phenomena, who have not learned about them before. It presents traffic phenomena like traffic breakdown and the emergence of moving traffic jams by showcasing empirical traffic data measured in real-world traffic. The author explains how these empirical traffic studies have led to the three-phase traffic theory and why this new theory is in conflict with standard traffic theories developed before. Moreover, he presents the reason for the failure of applications of standard traffic theories in real-world traffic and discusses why understanding real traffic has caused a paradigm shift in traffic and transportation science. The book examines why understanding real traffic breakdown is the basis for an explanation for the autonomous driving effects on traffic flow. It shows that understanding real traffic is possible from real-world traffic data without the need of mathematical traffic models. This makes the book intuitive for non-specialists, who can qualitatively understand all the basic features of traffic dynamics. In turn, experienced traffic researchers can grasp concepts and ideas made here easily accessible by the author, one of the leading pioneers in the field of vehicular traffic.

Breakdown in Traffic Networks

Author : Boris S. Kerner
Publisher : Springer
Page : 652 pages
File Size : 50,7 Mb
Release : 2017-05-26
Category : Technology & Engineering
ISBN : 9783662544730

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Breakdown in Traffic Networks by Boris S. Kerner Pdf

This book offers a detailed investigation of breakdowns in traffic and transportation networks. It shows empirically that transitions from free flow to so-called synchronized flow, initiated by local disturbances at network bottlenecks, display a nucleation-type behavior: while small disturbances in free flow decay, larger ones grow further and lead to breakdowns at the bottlenecks. Further, it discusses in detail the significance of this nucleation effect for traffic and transportation theories, and the consequences this has for future automatic driving, traffic control, dynamic traffic assignment, and optimization in traffic and transportation networks. Starting from a large volume of field traffic data collected from various sources obtained solely through measurements in real world traffic, the author develops his insights, with an emphasis less on reviewing existing methodologies, models and theories, and more on providing a detailed analysis of empirical traffic data and drawing consequences regarding the minimum requirements for any traffic and transportation theories to be valid. The book - proves the empirical nucleation nature of traffic breakdown in networks - discusses the origin of the failure of classical traffic and transportation theories - shows that the three-phase theory is incommensurable with the classical traffic theories, and - explains why current state-of-the art dynamic traffic assignments tend to provoke heavy traffic congestion, making it a valuable reference resource for a wide audience of scientists and postgraduate students interested in the fundamental understanding of empirical traffic phenomena and related data-driven phenomenology, as well as for practitioners working in the fields of traffic and transportation engineering.

Data-Driven Traffic Engineering

Author : Hubert Rehborn,Micha Koller,Stefan Kaufmann
Publisher : Elsevier
Page : 192 pages
File Size : 46,5 Mb
Release : 2020-10-23
Category : Transportation
ISBN : 9780128191392

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Data-Driven Traffic Engineering by Hubert Rehborn,Micha Koller,Stefan Kaufmann Pdf

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more. This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future. Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehicles Applies Kerner’s three-phase traffic theory to empirical data Offers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems

Decision and Game Theory for Security

Author : John S. Baras,Jonathan Katz,Eitan Altman
Publisher : Springer
Page : 259 pages
File Size : 55,9 Mb
Release : 2011-11-11
Category : Computers
ISBN : 9783642252808

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Decision and Game Theory for Security by John S. Baras,Jonathan Katz,Eitan Altman Pdf

This book constitutes the refereed proceedings of the Second International Conference on Decision and Game Theory for Security, GameSec 2011, held in College Park, Maryland, USA, in November 2011. The 16 revised full papers and 2 plenary keynotes presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on attacks, adversaries, and game theory, wireless adhoc and sensor networks, network games, security insurance, security and trust in social networks and security investments.

Security and Game Theory

Author : Milind Tambe
Publisher : Cambridge University Press
Page : 336 pages
File Size : 48,8 Mb
Release : 2011-12-12
Category : Computers
ISBN : 1107096421

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Security and Game Theory by Milind Tambe Pdf

Global threats of terrorism, drug-smuggling, and other crimes have led to a significant increase in research on game theory for security. Game theory provides a sound mathematical approach to deploy limited security resources to maximize their effectiveness. A typical approach is to randomize security schedules to avoid predictability, with the randomization using artificial intelligence techniques to take into account the importance of different targets and potential adversary reactions. This book distills the forefront of this research to provide the first and only study of long-term deployed applications of game theory for security for key organizations such as the Los Angeles International Airport police and the U.S. Federal Air Marshals Service. The author and his research group draw from their extensive experience working with security officials to intelligently allocate limited security resources to protect targets, outlining the applications of these algorithms in research and the real world. The book also includes professional perspectives from security experts Erroll G. Southers; Lieutenant Commander Joe DiRenzo III, U.S. Coast Guard; Lieutenant Commander Ben Maule, U.S. Coast Guard; Erik Jensen, U.S. Coast Guard; and Lieutenant Fred S. Bertsch IV, U.S. Coast Guard.

The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling

Author : Amit Kumar,Mangey Ram
Publisher : Academic Press
Page : 522 pages
File Size : 40,5 Mb
Release : 2021-01-09
Category : Mathematics
ISBN : 9780128231586

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The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling by Amit Kumar,Mangey Ram Pdf

The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling discusses the many factors affect reliability and performance, including engineering design, materials, manufacturing, operations, maintenance, and many more. Reliability is one of the fundamental criteria in engineering systems design, with maintenance serving as a way to support reliability throughout a system’s life. Addressing these issues requires information, modeling, analysis and testing. Different techniques are proposed and implemented to help readers analyze various behavior measures (in terms of the functioning and performance) of systems. Enables mathematicians to convert any process or system into a model that can be analyzed through a specific technique Examines reliability and mathematical modeling in a variety of disciplines, unlike competitors which typically examine only one Includes a table of contents with simple to complex examples, starting with basic models and then refining modeling approaches step-by-step

Dynamic Shipping and Port Development in the Globalized Economy

Author : Paul Yae-Woo Lee,Kevin Cullinane
Publisher : Springer
Page : 258 pages
File Size : 48,6 Mb
Release : 2016-01-26
Category : Business & Economics
ISBN : 9781137514295

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Dynamic Shipping and Port Development in the Globalized Economy by Paul Yae-Woo Lee,Kevin Cullinane Pdf

This two volume book presents an in-depth analysis of many of the most important issues facing today's shipping and port sectors. Volume 2 of Dynamic Shipping and Port Development in the Globalized Economy focuses on the emerging trends in ports.

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Author : Yuxiao Dong,Nicolas Kourtellis,Barbara Hammer,Jose A. Lozano
Publisher : Springer Nature
Page : 579 pages
File Size : 46,8 Mb
Release : 2021-09-09
Category : Computers
ISBN : 9783030865146

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track by Yuxiao Dong,Nicolas Kourtellis,Barbara Hammer,Jose A. Lozano Pdf

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.