Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach
This book seeks to summarize our recent progress in dynamic trans­ portation network modeling. It concentrates on ideal dynamic network models based on actual travel times and their corresponding solution algorithms. In contrast, our first book DynamIc Urban Transportation Network Models - The­ ory and Implications for Intelligent Vehicle-Hzghway Systems (Springer-Verlag, 1994) focused on instantaneous dynamic network models. Comparing the two books, the major differences can be summarized as follows: 1. This book uses the variational inequality problem as the basic formulation approach and considers the optimal control problem as a subproblem for solution purposes. The former book used optimal control theory as the basic formulation approach, which caused critical problems in some circumstances. 2. This book focuses on ideal dynamic network models based on actual travel times. The former book focused on instantaneous dynamic network models based on currently prevailing travel times. 3. This book formulates a shastic dynamic route choice model which can utilize any possible route choice distribution function instead of only the logit function. 4. This book reformulates the bilevel problem of combined departure time/ route choice as a one-level variational inequality. 5. Finally, a set of problems is provided for classroom use. In addition, this book offers comprehensive insights into the complexity and challenge of applying these dynamic network models to Intelligent Trans­ portation Systems (ITS). Nevertheless, the models in this text are not yet fully evaluated and are subject to revision based on future research.
1111487105
Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach
This book seeks to summarize our recent progress in dynamic trans­ portation network modeling. It concentrates on ideal dynamic network models based on actual travel times and their corresponding solution algorithms. In contrast, our first book DynamIc Urban Transportation Network Models - The­ ory and Implications for Intelligent Vehicle-Hzghway Systems (Springer-Verlag, 1994) focused on instantaneous dynamic network models. Comparing the two books, the major differences can be summarized as follows: 1. This book uses the variational inequality problem as the basic formulation approach and considers the optimal control problem as a subproblem for solution purposes. The former book used optimal control theory as the basic formulation approach, which caused critical problems in some circumstances. 2. This book focuses on ideal dynamic network models based on actual travel times. The former book focused on instantaneous dynamic network models based on currently prevailing travel times. 3. This book formulates a shastic dynamic route choice model which can utilize any possible route choice distribution function instead of only the logit function. 4. This book reformulates the bilevel problem of combined departure time/ route choice as a one-level variational inequality. 5. Finally, a set of problems is provided for classroom use. In addition, this book offers comprehensive insights into the complexity and challenge of applying these dynamic network models to Intelligent Trans­ portation Systems (ITS). Nevertheless, the models in this text are not yet fully evaluated and are subject to revision based on future research.
54.99 In Stock
Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach

Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach

Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach

Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach

Paperback(2nd ed. 1996. Softcover reprint of the original 2nd ed. 1996)

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Overview

This book seeks to summarize our recent progress in dynamic trans­ portation network modeling. It concentrates on ideal dynamic network models based on actual travel times and their corresponding solution algorithms. In contrast, our first book DynamIc Urban Transportation Network Models - The­ ory and Implications for Intelligent Vehicle-Hzghway Systems (Springer-Verlag, 1994) focused on instantaneous dynamic network models. Comparing the two books, the major differences can be summarized as follows: 1. This book uses the variational inequality problem as the basic formulation approach and considers the optimal control problem as a subproblem for solution purposes. The former book used optimal control theory as the basic formulation approach, which caused critical problems in some circumstances. 2. This book focuses on ideal dynamic network models based on actual travel times. The former book focused on instantaneous dynamic network models based on currently prevailing travel times. 3. This book formulates a shastic dynamic route choice model which can utilize any possible route choice distribution function instead of only the logit function. 4. This book reformulates the bilevel problem of combined departure time/ route choice as a one-level variational inequality. 5. Finally, a set of problems is provided for classroom use. In addition, this book offers comprehensive insights into the complexity and challenge of applying these dynamic network models to Intelligent Trans­ portation Systems (ITS). Nevertheless, the models in this text are not yet fully evaluated and are subject to revision based on future research.

Product Details

ISBN-13: 9783642802324
Publisher: Springer Berlin Heidelberg
Publication date: 12/10/2011
Edition description: 2nd ed. 1996. Softcover reprint of the original 2nd ed. 1996
Pages: 356
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

I Dynamic Transportation Network Analysis.- 1 Introduction.- II Mathematical Background.- 2 Variational Inequalities and Continuous Optimal Control.- 3 Discrete Optimal Control and Nonlinear Programming.- III Deterministic Dynamic Route Choice.- 4 Network Flow Constraints and Definitions of Travel Times.- 5 Ideal Dynamic Route Choice Models.- 6 A Solution Algorithm for an Ideal Route Choice Model.- 7 Instantaneous Dynamic Route Choice Models.- 8 Extensions of Instantaneous Route Choice Models.- IV Shastic Dynamic Route Choice.- 9 Ideal Shastic Dynamic Route Choice Models.- 10 Instantaneous Shastic Dynamic Route Choice Models.- V General Dynamic Travel Choices.- 11 Combined Departure Time/Route Choice Models.- 12 Combined Mode/Departure Time/Route Choice Models.- VI Implications for ITS.- 13 Link Travel Time Functions for Dynamic Network Models.- 14 Implementation in Intelligent Transportation Systems.- References.- Author Index.- List of Figures.- List of Tables.
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