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.

Introduces aspects of safety, security and game theory into discussions focused on excessive crowding Considers systems where congestion occurs, which may be in parallel, series, interlinked, or interdependent, with flows one way or both ways Provides improved tools for handle congestion whilst ensuring safety and security against various threats Includes supplementary material: sn.pub/extras

Autorentext

Kjell Hausken currently works as a Professor in the Faculty of Social Sciences, University of Stavanger, Norway and includes risk analysis, strategic interaction, game theory, societal safety, economics and philosophy amongst their current research interests.

Publishing extensively in peer reviewed publications and journal articles, Kjell also serves on the Editorial boards of 'Defence and Peace Economics, 'Reliability Engineering & System Safety' and 'Theory and Decision'.

A main PhD dissertation advisor for several students, Kjell has received many honors and awards for their work including being the recipient of the Lyse's Research Prize in 2007.

Jun Zhuang is currently an Assistant Professor in the Department of Industrial and Systems Engineering at the University at Buffalo, The State University of New York (SUNY-Buffalo), and has served as co-director at the Research Institute for Safety and Security in Transportation (RISST), SUNY-Buffalo since 2008.

With a long-term research goal to integrate operations research and game theory to better mitigate, prepare for, respond to, and recover from both natural and man-made hazards, Jun's other areas of interest include health care, sports, transportation, supply chain management, and sustainability.

Jun received Doctor of Philosophy degree in Industrial Engineering, Minor in Mathematics from the University of Wisconsin-Madison, Madison, WI for their dissertation 'Modeling Secrecy and Deception in Homeland Security Resource Allocation' in 2008, and has been a fellow of the U.S. Air Force Summer Faculty Fellowship Program (AF SFFP), sponsored by the Air Force Office of Scientific Research (AFOSR), since 2011.

Honors and awards include the INFORMS, Decision Analysis Society, Student Paper Award, Honorable Mention, 2006, Intelligen's International Process Design Contest, Second Place Award, 2006, and in 2012 the University at Buffalo PresidentEmeritus and Mrs. Martin Meyerson Award for Distinguished Teaching and Mentoring (formerly named Faculty Award).

Inhalt

1.- Congestion Management in Motorways and Urban Networks through a Bargaining-Game-Based Coordination Mechanism 2.-Advanced Information Feedback Coupled with an Evolutionary Game in Intelligent Transportation Systems 3.-Solving a Dynamic User-Optimal Route Guidance Problem Based on Joint Strategy Fictitious Play 4.-A Psycho-Social Agent-Based Model of Driver Behavior Dynamics