Title :
Data mining tools for real-time traffic signal decision support & maintenance
Author :
Hauser, Trisha A. ; Scherer, William T.
Author_Institution :
Virginia Univ., Charlottesville, VA, USA
Abstract :
This paper describes research 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 can be used to automatically identify time-of-day (TOD) intervals,, based on the data, that support the design of a TOD signal control system. The cluster analysis approach is able to utilize a high-resolution system state, definition that takes full advantaged 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; decision support systems; pattern clustering; road traffic; traffic control; traffic engineering computing; data mining; hierarchical cluster analysis; intelligent transportation systems; time-of-day intervals; traffic signal timing; Automatic control; Automatic generation control; Control systems; Data mining; Intelligent sensors; Intelligent transportation systems; Sensor systems; Signal analysis; Signal processing; Timing;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973490
