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Energy-Efficient Train Control

  • Philip G. Howlett
  • Peter J. Pudney

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

Table of contents

  1. Front Matter
    Pages i-xix
  2. Introduction

    1. Front Matter
      Pages xxi-xxi
    2. Philip G. Howlett, Peter J. Pudney
      Pages 1-16
    3. Philip G. Howlett, Peter J. Pudney
      Pages 17-24
    4. Philip G. Howlett, Peter J. Pudney
      Pages 25-32
    5. Philip G. Howlett, Peter J. Pudney
      Pages 33-62
  3. Analysis of the Mechanical Energy Model

    1. Front Matter
      Pages 63-63
    2. Philip G. Howlett, Peter J. Pudney
      Pages 65-79
    3. Philip G. Howlett, Peter J. Pudney
      Pages 81-109
    4. Philip G. Howlett, Peter J. Pudney
      Pages 111-133
  4. Analysis of the Fuel Consumption Model

    1. Front Matter
      Pages 135-135
    2. Philip G. Howlett, Peter J. Pudney
      Pages 137-156
    3. Philip G. Howlett, Peter J. Pudney
      Pages 157-181
    4. Philip G. Howlett, Peter J. Pudney
      Pages 183-214
    5. Philip G. Howlett, Peter J. Pudney
      Pages 215-228
    6. Philip G. Howlett, Peter J. Pudney
      Pages 229-265
    7. Philip G. Howlett, Peter J. Pudney
      Pages 267-284
    8. Philip G. Howlett, Peter J. Pudney
      Pages 285-297
  5. Back Matter
    Pages 299-306

About this book

Introduction

Rail is potentially a very efficient form of transport, but must be convenient, reliable and cost-effective to compete with road and air transport. Optimal control can be used to find energy-efficient driving strategies for trains. This book describes the train control problem and shows how a solution was found at the University of South Australia. This research was used to develop the Metromiser system, which provides energy-efficient driving advice on suburban trains. Since then, this work has been modified to find practical driving strategies for long-haul trains. The authors describe the history of the problem, reviewing the basic mathematical analysis and relevant techniques of constrained optimisation. They outline the modelling and solution of the problem and finally explain how the fuel consumption can be minimised for a journey, showing the effect of speed limits and track gradients on the optimal driving strategy.

Keywords

Driving Strategies Energy-efficient Driving Fuel Consumption Optimal Strategy Train Control Trains constrained optimization control control engineering modeling optimal control optimization

Authors and affiliations

  • Philip G. Howlett
    • 1
  • Peter J. Pudney
    • 1
  1. 1.Scheduling and Control Group School of MathematicsUniversity of South Australia The Levels CampusPoorakaAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3084-0
  • Copyright Information Springer-Verlag London 1995
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-3086-4
  • Online ISBN 978-1-4471-3084-0
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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