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Transportation and Network Analysis: Current Trends

Miscellanea in honor of Michael Florian

  • Book
  • © 2002

Overview

Editors:
  1. Michel Gendreau

    1. Département d’informatique et de recherche opérationelle (DIRO), Centre de recherche sur les transports (CRT), Université de Montréal, Canada

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  2. Patrice Marcotte

    1. Département d’informatique et de recherche opérationelle (DIRO), Centre de recherche sur les transports (CRT), Université de Montréal, Canada

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Part of the book series: Applied Optimization (APOP, volume 63)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Allocation of Railroad Capacity Under Competition: A Game Theoretic Approach to Track time Pricing

    • A. Bassanini, A. La Bella, A. Nastasi
    Pages 1-17

  3. Real Time Simulation of Traffic Demand-Supply Interactions within DynaMIT

    • Moshe Ben-Akiva, Michel Bierlaire, Haris N. Koutsopoulos, Rabi Mishalani
    Pages 19-36

  4. Implications of Marginal Cost Road Pricing for Urban Travel Choices and User Benefits

    • David Boyce, Karthik Balasubramaniam, Xin Tian
    Pages 37-48

  5. A Dynamic User Equilibrium Model for Traffic Assignment in Urban Areas

    • Luce Brotcorne, Daniel De Wolf, Michel Gendreau, Martine Labbé
    Pages 49-69

  6. Estimation of Travel Demand Using Traffic Counts and Other Data Sources

    • Ennio Cascetta, Alessandra A. Improta
    Pages 71-94

  7. Path Recovery/Reconstruction and Applications in Nonlinear Multimodal Multicommodity Networks

    • Teodor Gabriel Crainic, Gina Dufour, Michael Florian, Diane Larin
    Pages 95-108

  8. Linear-in-Parameters Logit Model Derived from the Efficiency Principle

    • Sven Erlander
    Pages 109-117

  9. A Multi-Class Multi-Mode Variable Demand Network Equilibrium Model with Hierarchical Logit Structures

    • Michael Florian, Jia Hao Wu, Shuguang He
    Pages 119-133

  10. A Toll Pricing Framework for Traffic Assignment Problems with Elastic Demand

    • Donald W. Hearn, Mehmet B. Yildirim
    Pages 135-145

  11. A Decision Support Methodology for Strategic Traffic Management

    • Torbjörn Larsson, Jan T. Lundgren, Clas Rydergren, Michael Patriksson
    Pages 147-164

  12. Column Generation Method for Network Design

    • Nelson Maculan, Marcos M. Passini, José André M. Brito, Abdel Lisser
    Pages 165-179

  13. Computing Fixed Points by Averaging

    • Thomas L. Magnanti, Georgia Perakis
    Pages 181-198

  14. Pollution Permits for Spatial Price Networks

    • Anna Nagurney
    Pages 199-220

  15. A New Dual Algorithm for Shortest Path Reoptimization

    • Sang Nguyen, Stefano Pallottino, Maria Grazia Scutellà
    Pages 221-235

  16. Biproportional Matrix Balancing with Upper Bounds

    • Heinz Spiess
    Pages 237-243
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Keywords

About this book

MICHEL GENDREAU AND PATRICE MARCOTTE As an academic, Michael Florian has always stood at the forefront of transportation research. This is reflected in the miscellaneous contributions that make the chapters of this book, which are related in some way or another to Michael's interests in both the theoretical and practical aspects of his field. These interests span the areas of Traffic Assignment, Network Equilibrium, Shortest Paths, Railroad problems, De­ mand models, Variational Inequalities, Intelligent Transportation Systems, etc. The contributions are briefly outlined below. BASSANINI, LA BELLA AND NASTASI determine a track pricing policy for railroad companies through the solution of a generalized Nash game. BEN-AKIVA, BIER­ LAIRE, KOUTSOPOULOS AND MISHALANI discuss simulation-based estimators of the interactions between supply and demand within a real-time transportation system. BOYCE, BALASUBRAMANIAM AND TIAN analyze the impact of marginal cost pricing on urban traffic in the Chicago region. BROTCORNE, DE WOLF, GENDREAU AND LABBE present a discrete model of dynamic traffic assignment where flow departure is endogenous and the First-In-First-Out condition is strictly enforced. CASCETTA AND IMP ROTA give a rigorous treatment of the problem of estimating travel demand from observed data, both in the static and dynamic cases. CRAINIC, DUFOUR, FLo­ RIAN AND LARIN show how to obtain path information that is consistent with the link information provided by a nonlinear multimodal model. ERLANDER derives the logit model from an efficiency principle rather than from the classical random utility approach.

Editors and Affiliations

  • Département d’informatique et de recherche opérationelle (DIRO), Centre de recherche sur les transports (CRT), Université de Montréal, Canada

    Michel Gendreau, Patrice Marcotte

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