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
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;
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
DOI :
10.1109/ICECTECH.2010.5479977
