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Application of data mining in traffic management: case of city of Isfahan

Zamani, Z, Pourmand, M and Saraee, M 2010, Application of data mining in traffic management: case of city of Isfahan , in: 2010 International Conference on Electronic Computer Technology (ICECT), 7-10 May 2010, Kuala Lumpur, Malaysia.

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    Abstract

    This paper describes the work investigating the application of data mining tools to aid in the development of traffic signal timing plans. A case study was conducted to illustrate that the use of hierarchical cluster analysis. This approach can be used for designing of a TOD signal control system, since it automatically identifies time-of-day (TOD) intervals using the historical collected data. The cluster analysis approach is able to utilize a high-resolution system state definition that takes full advantage of the extensive set of sensors deployed in a traffic signal system and cluster validation supports the hypotheses presented. The results of this research indicate that advanced data mining techniques hold high potential to provide automated signal control techniques

    Item Type: Conference or Workshop Item (Paper)
    Themes: Health and Wellbeing
    Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: Proceedings of the 2010 International Conference on Electronic Computer Technology (ICECT)
    Publisher: IEEE
    Refereed: Yes
    Depositing User: Dr Mo Saraee
    Date Deposited: 27 Oct 2011 11:54
    Last Modified: 20 Aug 2013 18:16
    URI: http://usir.salford.ac.uk/id/eprint/18719

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