Real-time visualization of city public transport provider data and prediction of future trends

master's thesis

• Title (croatian): Vizualizacija podataka pružatelja javnog gradskog prijevoza u stvarnom vremenu i predviđanje budućih trendova
• Author: Kristijan Jurić
• Mentor: Tomislav Erdelić (mentor)
• Committee member: Tonči Carić (predsjednik povjerenstva)
• Committee member: Krešimir Vidović (član povjerenstva)
• Committee member: Pero Škorput (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; Zagreb
• Defense date and country: 2024-09-25, 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: GTFS; real-time data; public transport; predictive modeling; ZET; urban planning; ITS
• Keywords (croatian): GTFS; informacije u stvarnom vremenu; javni prijevoz; prediktivno modeliranje; ZET; urbano planiranje; ITS
• Language: english
• URN:NBN: urn:nbn:hr:119:643618
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-12-05 12:42:38