The Public Transportation BigData Clustering
Tomislav Galba, Zoran Balkić, Goran Martinović · Hrčak Portal of scientific journals of Croatia (University Computing Centre) · 2013
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.