An iterative approach to enhanced traffic signal optimization

Recent advances in Intelligent Transportation Systems (ITS) provide large quantities of data that can be exploited for the development of improved traffic management systems. However, mining this data to extract useful patterns and information also presents significant challenges. In an earlier pres...

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Main Authors: WONG, Y, WOON, W
Format: Article
Language:English
Published: PERGAMON-ELSEVIER SCIENCE LTD 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2736/
http://shdl.mmu.edu.my/2736/1/777.pdf
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author WONG, Y
WOON, W
author_facet WONG, Y
WOON, W
author_sort WONG, Y
building MMU Institutional Repository
collection Online Access
description Recent advances in Intelligent Transportation Systems (ITS) provide large quantities of data that can be exploited for the development of improved traffic management systems. However, mining this data to extract useful patterns and information also presents significant challenges. In an earlier presentation we presented a novel method for optimising traffic timing plans via the use of clustering algorithms to automatically generate Time-Of-Day (TOD) intervals. By detecting time intervals which share common traffic conditions, it was possible to obtain TOD intervals which better reflect the underlying generators of traffic patterns. However, the above-mentioned procedure suffers from a problem: the data that is used to find the clusters was generated using the original traffic patterns, which means that the estimates of the true underlying TOD intervals could be inaccurate. In this paper, we present a refinement of the method which is based on iteratively re-estimating the TOD intervals. Experiments have been conducted to test the usefulness of this additional step and the results are presented and discussed in detail. (c) 2007 Elsevier Ltd. All rights reserved.
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spelling mmu-27362014-02-13T03:02:44Z http://shdl.mmu.edu.my/2736/ An iterative approach to enhanced traffic signal optimization WONG, Y WOON, W T Technology (General) QA75.5-76.95 Electronic computers. Computer science Recent advances in Intelligent Transportation Systems (ITS) provide large quantities of data that can be exploited for the development of improved traffic management systems. However, mining this data to extract useful patterns and information also presents significant challenges. In an earlier presentation we presented a novel method for optimising traffic timing plans via the use of clustering algorithms to automatically generate Time-Of-Day (TOD) intervals. By detecting time intervals which share common traffic conditions, it was possible to obtain TOD intervals which better reflect the underlying generators of traffic patterns. However, the above-mentioned procedure suffers from a problem: the data that is used to find the clusters was generated using the original traffic patterns, which means that the estimates of the true underlying TOD intervals could be inaccurate. In this paper, we present a refinement of the method which is based on iteratively re-estimating the TOD intervals. Experiments have been conducted to test the usefulness of this additional step and the results are presented and discussed in detail. (c) 2007 Elsevier Ltd. All rights reserved. PERGAMON-ELSEVIER SCIENCE LTD 2008-05 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2736/1/777.pdf WONG, Y and WOON, W (2008) An iterative approach to enhanced traffic signal optimization. Expert Systems with Applications, 34 (4). pp. 2885-2890. ISSN 09574174 http://dx.doi.org/10.1016/j.eswa.2007.05.007 doi:10.1016/j.eswa.2007.05.007 doi:10.1016/j.eswa.2007.05.007
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
WONG, Y
WOON, W
An iterative approach to enhanced traffic signal optimization
title An iterative approach to enhanced traffic signal optimization
title_full An iterative approach to enhanced traffic signal optimization
title_fullStr An iterative approach to enhanced traffic signal optimization
title_full_unstemmed An iterative approach to enhanced traffic signal optimization
title_short An iterative approach to enhanced traffic signal optimization
title_sort iterative approach to enhanced traffic signal optimization
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2736/
http://shdl.mmu.edu.my/2736/
http://shdl.mmu.edu.my/2736/
http://shdl.mmu.edu.my/2736/1/777.pdf