Title :
Mining traffic patterns from public transportation GPS data
Author :
Lipan, Florin ; Groza, Adrian
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
Bus schedules submitted by public transportation companies often lack accuracy. Generally this relates to traffic being inconsistent over most parts of the road network. We set on finding a model for predicting these speed variations over GPS monitored bus routes, by using association rules, and then apply it on the local bus network of Cluj-Napoca, Romania.
Keywords :
Global Positioning System; data mining; pattern classification; roads; traffic engineering computing; transportation; GPS data; association rules; bus route monitoring; bus scheduling; local bus network; public transportation company; road network; traffic pattern mining; Association rules; Global Positioning System; Monitoring; Roads; Schedules; GPS fleet monitoring; association rules; public transportation; traffic patterns;
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-8228-3
Electronic_ISBN :
978-1-4244-8230-6
DOI :
10.1109/ICCP.2010.5606450
