Teklu, F, Sumalee, A and Watling, DP (2007) A Genetic Algorithm Approach for Optimising Traffic Control Signals Considering Routing. Computer-Aided Civil and Infrastructure Engineering, 22 (1). 31 - 43. ISSN 1093-9687
Abstract
It is well known that coordinated, area-wide traffic signal control provides great potential for improvements in delays, safety, and environmental measures. However, an aspect of this problem that is commonly neglected in practice is the potentially confounding effect of drivers re-routing in response to changes in travel times on competing routes, brought about by the changes to the signal timings. This article considers the problem of optimizing signal green and cycle timings over an urban network, in such a way that the optimization anticipates the impact on traffic routing patterns. This is achieved by including a network equilibrium model as a constraint to the optimization. A Genetic Algorithm (GA) is devised for solving the resulting problem, using total travel time across the network as an illustrative fitness function, and with a widely used traffic simulation-assignment model providing the equilibrium flows. The procedure is applied to a case study of the city of Chester in the UK, and the performance of the algorithms is analyzed with respect to the parameters of the GA method. The results show a better performance of the signal timing as optimized by the GA method as compared to a method that does not consider rerouting. This improvement is found to be more significant with a more congested network whereas under a relatively mild congestion situation the improvement is not very clear.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c)2007 Computer-Aided Civil and Infrastructure Engineering. Published by Blackwell Publishing. This is an author produced version of a paper published in Computer-Aided Civil and Infrastructure Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | genetic algorithm; routing; Optimising; Traffic Control Signals |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Jul 2019 10:24 |
Last Modified: | 29 Jul 2019 10:24 |
Published Version: | http://dx.doi.org/10.1111/j.1467-8667.2006.00468.x |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/j.1467-8667.2006.00468.x |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84765 |