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undergraduate thesis
Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. urn:nbn:hr:119:199795
Mardešić, Nikola
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

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Mardešić, N. (2019). Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:199795

Mardešić, Nikola. "Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:199795

Mardešić, Nikola. "Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:199795

Mardešić, N. (2019). 'Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila', Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 27 March 2025, https://urn.nsk.hr/urn:nbn:hr:119:199795

Mardešić N. Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2019 [cited 2025 March 27] Available at: https://urn.nsk.hr/urn:nbn:hr:119:199795

N. Mardešić, "Određivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila", Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:119:199795

Metadata
TitleOdređivanje energetskog profila prometnice na temelju povijesnih zapisa o kretanju vozila
Title (english)Determination of Road Energy Profile Based on Historical Records of Vehicle Trajectories
AuthorNikola Mardešić
MentorHrvoje Gold (mentor)
Committee memberMario Muštra (predsjednik povjerenstva)
Committee memberEdouard Ivanjko (član povjerenstva)
Committee memberPero Škorput (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 country2019-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Udjel električnih vozila postepeno se povećava na globalnom tržištu. Uz sve svoje prednosti električna vozila su karakterizirana relativno malim dosegom vožnje. Kako optimalno iskoristiti kapacitet baterije predstavlja nezaobilazno pitanje. Praćenje putanje vozila na prometnoj mreži rezultira akumuliranjem velike količine podataka. Ti povijesni podaci mogu se koristiti kao višestruki izvor dodatnih informacija tijekom prometne analize te su glavni izvor podataka korištenih u ovom radu. Cilj... More ovog rada je prostorno-vremenska analiza energetskih profila mreže prometnica unutar šire okolice Grada Zagreba te razvijanje grafičkog korisničkog sučelja za integraciju i ilustraciju dobivenih rezultata za krajnje korisnike. U svrhu postizanja ovih ciljeva primijenjena je metodologija izračuna energetskih profila temeljena na povijesnim podacima kretanja vozila. U radu je obrazložen model izračuna električne energije vozila na razmatranom prometnom segmentu. Budući da se vrijednosti energetskog profila prometnice mijenjaju tijekom dana dizajnirano je interaktivno grafičko korisničko sučelje u kojem se vizualno prikazuju energetski profili mreže prometnica u danom trenutku. U radu je također primijenjen algoritam grupiranja prometnica na temelju sličnih karakteristika te razvijen algoritam rutiranja električnih vozila na temelju izračunatih energetskih profila prometnica. Prostorno-vremenska analiza razvijena u okviru ovog rada proizvela je rezultate sukladne s prostornom logikom područja istraživanja unutar šire okolice Grada Zagreba. Rezultati istraživanja nude praktičan uvid u energetsku učinkovitost prometnih segmenata urbanog prostora na temelju kojeg je moguća izvedba planiranja ruta flote električnih vozila. Less
Abstract (english)
The share of electric vehicles is gradually increasing in the global vehicle market. Although electric vehicles have several advantages, they are characterised by relatively low cruising range (autonomy). Therefore, optimal battery utilization is a crucial question and challenge. Road traffic monitoring produces vast quantities of real time and historical data. Historical traffic data is a valuable resource in the field of traffic analysis and it constitutes the primary data used in this... More research. The aim of this research is to analyse road energy profiles from a spatio-temporal aspect and to develop a graphical user interface for integrating and illustrating the results of the research for end users. To achieve these aims we have implemented a methodology for estimating road energy profiles based on historical traffic data analysis. Furthermore, we have developed an approach for computing electric vehicle electricity consumption (or generation) on individual road segments. However, the values of the road’s energy profile change in the course of a day. Thus we have created an graphical user interface through which we can observe road energy profile values at a given time of day. We have also implemented an algorithm for clustering road segments based on similar energy profiles. Finally, we have developed an modified vehicle routing algorithm which dynamically calculates optimal routes based on road energy profiles at a given time of day. The results of this research can help inform policy makers on the given situation for electric vehicles implementation and proliferation in the larger urban area of Zagreb city. More importantly, combined with the graphical user interface and custom routing algorithm, the outcomes of this research could provide electric vehicle users a valuable tool for optimizing their vehicle utilization. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:199795
Study programmeTitle: Intelligent Transport Systems and Logistics; specializations in: Intelligent Transport Systems, Logistics
Course: Intelligent Transport Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-01-14 11:16:29
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