• DocumentCode
    2584025
  • Title

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

  • Author

    Zamani, Zahra ; Pourmand, Mahmoud ; Saraee, Mohammad Hossein

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2010
  • fDate
    7-10 May 2010
  • Firstpage
    102
  • Lastpage
    106
  • 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.
  • Keywords
    data mining; pattern clustering; road traffic; traffic engineering computing; automated signal control techniques; data mining; hierarchical cluster analysis; time-of-day intervals; traffic management; traffic signal timing plans; Automatic control; Cities and towns; Control systems; Data analysis; Data mining; Sensor systems; Signal analysis; Signal design; Signal processing; Timing; Data mining; clustering; intelligent transportation system; traffic management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Computer Technology (ICECT), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7404-2
  • Electronic_ISBN
    978-1-4244-7406-6
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2010.5479977
  • Filename
    5479977