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master's thesis
Real-time visualization of city public transport provider data and prediction of future trends
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. urn:nbn:hr:119:643618
Jurić, Kristijan
University of Zagreb
Faculty of Transport and Traffic Sciences

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Jurić, K. (2024). Real-time visualization of city public transport provider data and prediction of future trends (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:643618

Jurić, Kristijan. "Real-time visualization of city public transport provider data and prediction of future trends." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. https://urn.nsk.hr/urn:nbn:hr:119:643618

Jurić, Kristijan. "Real-time visualization of city public transport provider data and prediction of future trends." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2024. https://urn.nsk.hr/urn:nbn:hr:119:643618

Jurić, K. (2024). 'Real-time visualization of city public transport provider data and prediction of future trends', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 12 January 2025, https://urn.nsk.hr/urn:nbn:hr:119:643618

Jurić K. Real-time visualization of city public transport provider data and prediction of future trends [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2024 [cited 2025 January 12] Available at: https://urn.nsk.hr/urn:nbn:hr:119:643618

K. Jurić, "Real-time visualization of city public transport provider data and prediction of future trends", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:119:643618

Metadata
TitleReal-time visualization of city public transport provider data and prediction of future trends
Title (croatian)Vizualizacija podataka pružatelja javnog gradskog prijevoza u stvarnom vremenu i predviđanje budućih trendova
AuthorKristijan Jurić
MentorTomislav Erdelić (mentor)
Committee memberTonči Carić (predsjednik povjerenstva)
Committee memberKrešimir Vidović (član povjerenstva)
Committee memberPero Škorput (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
Zagreb
Defense date and country2024-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
In the highly changing area of Intelligent Transport Systems (ITS), real-time information is very important in making the public transportation system be more effective and reliable. This work discusses a real-time visualization application for Zagreb public transport system using General Transit Feed Specification (GTFS) data provided by Zagrebački Električni Tramvaj (ZET), the city’s public transportation authority. The application is created to handle and show static GTFS data as well as live GTFS data allowing users to follow present locations of vehicles on stop arrival and schedules in real-time. There is also an inclusion of predictive modelling techniques to forecast future trends in public transport. The results highlight the possible integration of ITS with predictive analytics to enhance public transport systems and user experience in fast-expanding urban areas and to also contribute to more efficient urban mobility solutions.
Abstract (croatian)
U brzo mijenjajućem području inteligentnih transportnih sustava, informacije u stvarnom vremenu su izuzetno važne za poboljšanje same učinkovitosti i pouzdanosti javnog prijevoza. U ovom radu se raspravlja o aplikaciji za vizualizaciju javnog prijevoza grada Zagreba u stvarnom vremenu koristeći General Transit Feed Specification (GTFS) podatke koje osigurava ZET (Zagrebački Električni Tramvaj), gradska uprava za javni prijevoz. Aplikacija je stvorena za rukovanje i prikaz statičkih GTFS podataka kao i stvarno-vremenskih GTFS podataka koji korisnicima omogućuju praćenje trenutnih lokacija vozila pri dolasku na stanicu i rasporeda u stvarnom vremenu. Tu se također uključuju i tehnike prediktivnog modeliranja za predviđanje budućih trendova u javnom prijevozu. Rezultati naglašavaju moguću integraciju ITS-a sa prediktivnom analitikom kako bi se poboljšao javni prijevoz i korisničko iskustvo u brzo širećim urbanim područjima i isto kako bi se pridonijelo učinkovitijima rješenjima za urbanu mobilnost.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:119:643618
Study programmeTitle: Intelligent Transportation Systems and Logistics
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka prometa (sveučilišni/a magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-12-05 12:42:38