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Feedback Control Theory for Dynamic Traffic Assignment

  • Pushkin Kachroo
  • Kaan Özbay

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

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Pushkin Kachroo, Kaan Özbay
    Pages 1-18
  3. Pushkin Kachroo, Kaan Özbay
    Pages 19-43
  4. Pushkin Kachroo, Kaan Özbay
    Pages 45-65
  5. Pushkin Kachroo, Kaan Özbay
    Pages 67-107
  6. Pushkin Kachroo, Kaan Özbay
    Pages 121-153
  7. Pushkin Kachroo, Kaan Özbay
    Pages 183-201
  8. Back Matter
    Pages 203-207

About this book

Introduction

Traditionally, traffic assignment and traffic control in general have mostly been performed using optimisation techniques which do not lend themselves to real-time control. This volume presents feedback control techniques for performing traffic assignment in real-time, where traffic diversion control variables are instantaneous functions of sensed traffic variables.

The authors outline the whole theory behind Intelligent Transportation Systems (ITS) which allows traffic variables to be sensed in real-time and microprocessors to use the sensed traffic variable input to perform the traffic actuation tasks. They show how to design feedback controllers to perform dynamic traffic routing and assignment, and present the theory of feedback control as applied to this problem, with many new approaches for solving it.

Not only is the theory presented but a wide range of information on applications in terms of simulations and deployment. It is a valuable contribution to the subject, and will be of great use to researchers and all those with an interest in traffic control, including professional from highway administration and all those working in this industry.

 

Advances in Industrial Control aims to report and encourage 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

Approximation Mathematica algorithms control control design control engineering control theory design fuzzy logic modeling optimization real-time control simulation sliding mode control traffic

Authors and affiliations

  • Pushkin Kachroo
    • 1
  • Kaan Özbay
    • 2
  1. 1.Bradley Department of Electrical and Computer EngineeringVirginia Polytechnic Institute and State UniversityBlacksburgUSA
  2. 2.Department of Civil and Environmental EngineeringRutgers UniversityPiscatawayUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-0815-3
  • Copyright Information Springer-Verlag London 1999
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1209-9
  • Online ISBN 978-1-4471-0815-3
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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