Skoči na glavni sadržaj

International journal of electrical and computer engineering systems, Vol. 4. No. 1., 2013.

Prethodno priopćenje

Public Transportation BigData Clustering

Tomislav Galba ; J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering
Zoran Balkić ; J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering
Goran Martinović ; J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering

Puni tekst: engleski pdf 1.004 Kb

str. 21-26

preuzimanja: 1.801

citiraj

Sažetak

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.

Ključne riječi

analysis; big data; clustering; GPS; public transportation

Hrčak ID:

133181

URI

https://hrcak.srce.hr/133181

Datum izdavanja:

10.4.2013.

Posjeta: 2.729 *