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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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)|
|Depositing User:||Dr Mo Saraee|
|Date Deposited:||27 Oct 2011 11:54|
|Last Modified:||20 Aug 2013 18:16|
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