The Public Transportation BigData Clustering
Keywords:
analysis, big data, clustering, GPS, public transportationAbstract
An increase in the use of GPS modules and cell phones with location services has created a need for new ways of collecting and storing data. Considering a fairly large number of devices, data collected in such way in most cases take up a vast amount of space on servers while on the other hand, they represent a source of very useful information. A large number of companies use this method of data collection in order to create prediction models, reports and data analysis. As an object of observation, we use the database of a modern public transportation system which contains information about vehicle telemetry. In this paper, we will describe the application and result analysis of some well-known clustering algorithms in order to solve public transportation problems like traffic congestion, passenger transport, etc.Downloads
Published
2013-04-01
How to Cite
[1]
T. Galba, Z. Balkić, and G. Martinović, “The Public Transportation BigData Clustering”, IJECES, vol. 4, no. 1, pp. 21-26, Apr. 2013.
Issue
Section
Preliminary Communications