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master's thesis
Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. urn:nbn:hr:119:687508
Slavulj, Marko
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Intelligent Transport Systems

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Slavulj, M. (2021). Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:687508

Slavulj, Marko. "Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:119:687508

Slavulj, Marko. "Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:119:687508

Slavulj, M. (2021). 'Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 03 April 2025, https://urn.nsk.hr/urn:nbn:hr:119:687508

Slavulj M. Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2021 [cited 2025 April 03] Available at: https://urn.nsk.hr/urn:nbn:hr:119:687508

M. Slavulj, "Analiza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:119:687508

Metadata
TitleAnaliza prometnih tokova autoceste Zagreb-Karlovac primjenom neuronskih mreža
Title (english)Analysis of Traffic Flows at Zagreb-Karlovac Motorway using Neural Networks
AuthorMarko Slavulj
MentorEdouard Ivanjko (mentor)
Committee memberMarko Šoštarić (predsjednik povjerenstva)
Committee memberMartin Gregurić (član povjerenstva)
Committee memberTonči Carić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Intelligent Transport Systems)
Zagreb
Defense date and country2021-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Sa sve većom prometnom potražnjom na autocestama, osnovni prometni pokazatelji razine uslužnosti kao što su: sigurnost, vrijeme putovanja i onečišćenje okoliša dolaze do sve većeg izražaja i u našoj zemlji. To je posljedica sve većeg obujma turista koji svoj godišnji odmor upravo provode na teritoriju Republike Hrvatske, ponajviše na obali Jadrana. To dovodi do potencijalne opasnosti na autocestama poput prometnih nezgoda i nesreća, nezadovoljstva korisnika dobivenom uslugom, itd. Republika... More Hrvatska ima jedne od najrazvijenijih autocesta u Europi pa i time prikuplja veliku količinu prometnih podataka. Ti prometni podatci osnova su za procjenu stanja prometnog sustava i prijedloga mogućih rješenja. Prometni podatci običnom čovjeku ne predstavljaju ništa dok se ne obrade i analiziraju. Za rješenje problema obrade velike količine prometnih podataka primijenjena je metoda K-srednjih vrijednosti (engl. K-means) koja određuje optimalni broj grupa koje sadrže dane u godini te je primijenjena samoorganizirajuća neuronska mreža koja analizom prikazuje potencijalne van-distribucijske raspodjele i grupe podataka. Također je analizirana i vizualizirana kategorizacija vozila, brzine i sezonalnost prometa. Less
Abstract (english)
With increasing traffic on motorways, basic traffic level of service indicators, e.g.: safety, travel time and environmental pollution, are coming to the fore. This is a consequence of a growing number of tourists who spend their vacations in Croatia, mostly on the Adriatic coast. This again leads to potential risks on motorways, such as car accidents and collisions, customer dissatisfaction, etc. Republic of Croatia has one of the most developed motorway networks in Europe, and it... More collects a large quantity of data. These traffic data is basis for checking the conditions of the traffic system and proposing possible solutions. To an average person the traffic data does not mean anything, until it is processed and analyzed. To solve the issue of big traffic data processing, K-means clustering was applied as a method of processing traffic data. It determines an optimal number of clusters, that contain days of the year, then a self-organizing neural network is applied, which, through analysis, shows potential outlier allocations and clusters. On top of that, categories of vehicles, speed and seasonality of the traffic is analyzed and visualized. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:687508
Study programmeTitle: Intelligent Transport Systems and Logistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-10-25 15:14:12
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