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  • Book
  • © 1994

Dynamic Urban Transportation Network Models

Theory and Implications for Intelligent Vehicle-Highway Systems

Authors:

  1. Bin Ran

    1. Institute of Transportation Studies, University of California at Berkeley, Richmond, USA

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    You can also search for this author in PubMed   Google Scholar

  2. David E. Boyce

    1. Urban Transportation Center, University of Illinois at Chicago, Chicago, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 417)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xv
    PDF

  2. Dynamic Transportation Network Analysis

    1. Introduction

      • Bin Ran, David E. Boyce
      Pages 1-15

  3. Mathematical Background

    1. Continuous Optimal Control Problems

      • Bin Ran, David E. Boyce
      Pages 17-52

  4. Deterministic Dynamic Route Choice

    1. Network Flow Constraints and Definitions of Travel Times

      • Bin Ran, David E. Boyce
      Pages 83-97

    2. Instantaneous Dynamic User-Optimal Route Choice Models

      • Bin Ran, David E. Boyce
      Pages 99-118

    4. An Ideal Dynamic User-Optimal Route Choice Model

      • Bin Ran, David E. Boyce
      Pages 141-159

  5. Stochastic Dynamic Route Choice

    1. Stochastic Dynamic User-Optimal Route Choice Models

      • Bin Ran, David E. Boyce
      Pages 161-180

  6. General Dynamic Travel Choices

    1. Combined Departure Time/Route Choice Models

      • Bin Ran, David E. Boyce
      Pages 205-223

    2. Combined Departure Time/Mode/Route Choice Models

      • Bin Ran, David E. Boyce
      Pages 225-242

  8. Implications for IVHS

    1. Link Travel Time Functions for Dynamic Network Models

      • Bin Ran, David E. Boyce
      Pages 337-351

    2. Implementation in IVHS

      • Bin Ran, David E. Boyce
      Pages 353-365

  9. Back Matter

    Pages 367-391
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About this book

Intelligent Vehicle-Highway Systems are providing a welcome stimulus to research on dynamic urban transportation network models. This book presents a new generation of models for solving dynamic travel choice problems including traveler's destination choice, mode choice, departure/arrival time choice and route choice. These models are expected to function as off-line travel forecasting and evaluation tools, and eventually as on-line prediction and control models in advanced traveler information and traffic management systems. In addition to a rich set of new formulations and solution algorithms, the book provides a summary of the necessary mathematical background and concludes with a discussion of the requirements for model implementation.
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Keywords

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Authors and Affiliations

  • Institute of Transportation Studies, University of California at Berkeley, Richmond, USA

    Bin Ran

  • Urban Transportation Center, University of Illinois at Chicago, Chicago, USA

    David E. Boyce

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Bibliographic Information

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eBook USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

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