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Vol 7, Issue 1, 2017
Pages: 405 - 413
Review paper
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INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
EKONOMSKI FAKULTET TRAVNIK U TRAVNIKU
PRAVNI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET ZA MEDIJE I KOMUNIKACIJE TRAVNIK U TRAVNIKU

u saradnji sa

MIT UNIVERZITET SKOPLJE, SJEVERNA MAKEDONIJA
VEVU, VELEUČILIŠTE LAVOSLAV RUZIČKA U VUKOVARU, HRVATSKA
VELEUČILIŠTE VIMAL, SISAK, HRVATSKA
CKKPI, TRAVNIK, BOSNA I HERCEGOVINA

organizuju

31. MEĐUNARODNU KONFERENCIJU

EKONOMSKE, PRAVNE I MEDIJSKE INTEGRACIJE BOSNE I HERCEGOVINE I ZEMALJA ZAPADNOG
BALKANA KAO KLJUČNI POKRETAČ EUROPSKIH VRIJEDNOSTI

12. – 13. decembar 2025. godine

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Received: 14.04.2017. >> Accepted: 28.04.2017. >> Published: 19.05.2017. Review paper

ULOGA ALATA BIG DATA I OTVORENIH PODATAKA U POBOLJŠANJU USLUGE JAVNOG PREVOZA / ROLE OF BIG DATA TOOLS AND OPEN DATA IN IMPROVING PUBLIC TRANSPORT SERVICE

By
Pavle Gladović ,
Pavle Gladović

Fakultet tehniĉkih nauka, University of Novi Sad , Novi Sad , Serbia

Nemanja Deretić
Nemanja Deretić
Abstract

In the personal and professional level, people are surrounded by lots of data. The same situation exists in the public transport. With the advancement of technology, the majority of public transport passengers are connected to the internet by their devices and also to all other sources of data available to them. In public transport studies, data are collected about vehicles (speed, regularity, delays, etc.), and about passengers (entrances and exits, transfers, etc.). Experts who are dealing with the public transport want to collect the data and that the results of data processing lead to improving services. New technologies and open data are allowing the use of big data tools and can assist in better understanding of public transport users‘ needs. The tools of business intelligence and application of big data are creating more and better information for making of business decisions, while users of public transport are timely provided with only the information that they need. This paper provides an overview of experiences and trends in the use of big data tools, as well as some examples of good practice in the public transport.

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