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Feedback Control Theory for Dynamic Traffic Assignment

  • Pushkin Kachroo
  • Kaan M.A. Özbay

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Introduction to Feedback Control and Dynamic Traffic Assignment

    1. Front Matter
      Pages 1-1
    2. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 3-23
    3. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 25-53
  3. Traffic Flow Theory and Traffic Assignment Modeling

    1. Front Matter
      Pages 55-55
    2. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 57-87
    3. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 89-112
  4. Feedback Control for Dynamic Traffic Routing

    1. Front Matter
      Pages 113-113
    2. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 115-154
    3. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 167-197
    4. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 199-228
    5. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 229-247
    6. Pushkin Kachroo, Kaan M. A. Özbay
      Pages 249-266
  5. Back Matter
    Pages 267-272

About this book

Introduction

This book develops a methodology for designing feedback control laws for dynamic traffic assignment (DTA) exploiting the introduction of new sensing and information-dissemination technologies to facilitate the introduction of real-time traffic management in intelligent transportation systems. Three methods of modeling the traffic system are discussed:
  • partial differential equations representing a distributed-parameter setting;
  • continuous-time ordinary differential equations (ODEs) representing a continuous-time lumped-parameter setting; and
  • discreet-time ODEs representing a discrete-time lumped-parameter setting.
Feedback control formulations for reaching road-user-equilibrium are presented for each setting and advantages and disadvantage of using each are addressed. The closed-loop methods described are proposed expressly to avoid the counter-productive shifting of bottlenecks from one route to another because of driver over-reaction to routing information.
The second edition of Feedback Control Theory for Dynamic Traffic Assignment has been thoroughly updated with completely new chapters:
  • a review of the DTA problem and emphasizing real-time-feedback-based problems;
  • an up-to-date presentation of pertinent traffic-flow theory; and
  • a treatment of the mathematical solution to the traffic dynamics.

Techinques accounting for the importance of entropy are further new inclusions at various points in the text.

Researchers working in traffic control will find the theoretical material presented a sound basis for further research; the continual reference to applications will help professionals working in highway administration and engineering with the increasingly important task of maintaining and smoothing traffic flow; the extensive use of end-of-chapter exercises will help the graduate student and those new to the field to extend their knowledge.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Distributed-parameter Systems Dynamic Traffic Assignment Feedback Control Godunov-based Entropy Highway Infrastructure ITS Intelligent Transportation Systems Traffic Flow Traffic Networks

Authors and affiliations

  • Pushkin Kachroo
    • 1
  • Kaan M.A. Özbay
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of NevadaLas VegasUSA
  2. 2.Department of Civil and Urban EngineeringNew York UniversityBrooklynUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-69231-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-69229-6
  • Online ISBN 978-3-319-69231-9
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site