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

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