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Traffic Control System Optimisation: A Multiobjective Approach

Tessa Sayers (Transport Operations Research Group, Department of Civil Engineering, University of Newcastle upon Tyne, UK)
Jessica Anderson (Transport Operations Research Group, Department of Civil Engineering, University of Newcastle upon Tyne, UK)
Michael Bell (Transport Operations Research Group, Department of Civil Engineering, University of Newcastle upon Tyne, UK)

Mathematics in Transport Planning and Control

ISBN: 978-0-08-043430-8, eISBN: 978-0-58-547418-2

Publication date: 15 December 1998

Abstract

The increasing awareness of the importance of the wider objectives of traffic management and control has led to the work described in this paper. The aim of the study is to develop a flexible signal controller which may be configured so that it embodies the objectives appropriate for the situation in which it is to be used. This paper describes the optimisation of a prototype fuzzy logic signal controller with respect to several criteria simultaneously. Having demonstrated the controller's sensitivity to changes in its parameters, a multiobjective genetic algorithm (MOGA) optimisation technique is used to derive a family of solutions, each of which is optimal with respect to at least one of the criteria, whilst minimising the trade-off with respect to the other criteria.

Citation

Sayers, T., Anderson, J. and Bell, M. (1998), "Traffic Control System Optimisation: A Multiobjective Approach", Griffiths, J.D. (Ed.) Mathematics in Transport Planning and Control, Emerald Group Publishing Limited, Bingley, pp. 37-46. https://doi.org/10.1108/9780585474182-004

Publisher

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Emerald Group Publishing Limited

Copyright © 1998 Emerald Group Publishing Limited