Game theoretic analysis of congestion, safety and security : traffic and transportation theory

Author(s)

    • Hausken, Kjell
    • Zhuang, Jun

Bibliographic Information

Game theoretic analysis of congestion, safety and security : traffic and transportation theory

Kjell Hausken, Jun Zhuang, editors

(Springer series in reliability engineering)

Springer, c2015

Available at  / 2 libraries

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Note

Includes bibliographical references and indexes

Description and Table of Contents

Description

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.

Table of Contents

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

by "Nielsen BookData"

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Details

  • NCID
    BB18386769
  • ISBN
    • 9783319116730
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham
  • Pages/Volumes
    xii, 220 p.
  • Size
    25 cm
  • Parent Bibliography ID
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