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

Zamani, Z; Pourmand, M; Saraee, MH

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

Citation

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

• Presentation Conference Type: Other
• Conference Name: 2010 International Conference on Electronic Computer Technology (ICECT)
• Conference Location: Kuala Lumpur, Malaysia
• Start Date: May 7, 2010
• End Date: May 10, 2010
• Deposit Date: Oct 27, 2011
• Book Title: 2010 2nd International Conference on Electronic Computer Technology
• DOI: https://doi.org/10.1109/ICECTECH.2010.5479977
• Publisher URL: http://dx.doi.org/10.1109/ICECTECH.2010.5479977
• Additional Information: Event Type : Conference