Overview

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.

Full Product Details

Author:   Philip G. Howlett ,  Peter J. Pudney
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Softcover reprint of the original 1st ed. 1995
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.510kg
ISBN:  

9781447130864

ISBN 10:   1447130863
Pages:   306
Publication Date:   07 December 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Section A: Introduction.- 1 The Train Control Problem.- 2 Modelling the Train Control Problem.- 3 Practical Driving Strategies.- 4 Constrained Optimisation—An Intuitive View.- Section B: Analysis of the Mechanical Energy Model.- 5 Existence of an Optimal Strategy.- 6 Necessary Conditions for an Optimal Strategy.- 7 Determination of Optimal Driving Strategies.- Section C: Analysis of the Fuel Consumption Model.- 8 Critical Speeds and Strategies of Optimal Type.- 9 Minimisation of Fuel Consumption.- 10 A More General Model.- 11 Speed Limits.- 12 Non-Constant Gradient.- 13 Continuously Varying Gradient.- 14 Practical Strategy Optimisation.- References.

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