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

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3 Author(s)
Zamani, Z. ; Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran ; Pourmand, M. ; Saraee, M.H.

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.

Published in:

Electronic Computer Technology (ICECT), 2010 International Conference on

Date of Conference:

7-10 May 2010

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