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master's thesis
Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2022. urn:nbn:hr:119:836015
Babić, Lidija
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Babić, L. (2022). Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:836015

Babić, Lidija. "Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:119:836015

Babić, Lidija. "Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:119:836015

Babić, L. (2022). 'Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 11 January 2025, https://urn.nsk.hr/urn:nbn:hr:119:836015

Babić L. Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2022 [cited 2025 January 11] Available at: https://urn.nsk.hr/urn:nbn:hr:119:836015

L. Babić, "Analiza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:119:836015

Metadata
TitleAnaliza utjecaja simulacijskih parametara autonomnih vozila na prometni tok autocesta
Title (english)Analysis of autonomous vehicles simulation parameters impact on traffic flow at motorways
AuthorLidija Babić
MentorLuka Novačko (mentor)
Committee memberDragan Peraković (predsjednik povjerenstva)
Committee memberMarijan Jakovljević (član povjerenstva)
Committee memberMarko Šoštarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Information and Communications Traffic)
Zagreb
Defense date and country2022-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Road and Rail Transport
Abstract
Povećanjem prometne potražnje zbog razvoja urbanih središta, smanjuje se protok te stupanj sigurnosti prometa. Time se pojavljuje potreba za uvođenjem novih tehnologija u infrastrukturnom te suprastrukturnom području. Rezultat toga su autonomna vozila s kojima je cilj postići potpunu harmonizaciju i sigurnost sudionika u prometu. Kako bi se postigao definirani cilj, prometni tok mora biti homogen. U ovom radu izrađena je simulacija u kojoj prometni tok čine autonomna vozila i konvencionalna vozila. Kako bi se kretanje autonomnih vozila prilagodilo kretanju vozila kojima upravlja čovjek, potrebno je provesti analizu kretanja autonomnih vozila mijenjajući parametre ponašanja s ciljem odabira ključnih parametara, te njihovih vrijednosti u ovisnost o prometnoj situaciji. Rezultati istraživanja pokazuju da većim udjelom autonomnih vozila te smanjenim razmakom između vozila postiže se pozitivan utjecaj na prometni tok.
Abstract (english)
The consequence of increased traffic demand, due to the development of urban centres, is reduced traffic flow and level of traffic safety. This creates a need for the developing new technologies in the infrastructural and superstructural areas. The result is autonomous vehicles, intending to achieve complete harmonization of traffic flow and safety for the traffic users. To achieve the defined goal, the traffic flow must be homogeneous. The simulation created in this paper defines a traffic flow consisting of autonomous vehicles and conventional vehicles. In order to adapt the movement of autonomous vehicles to the movement of human-driven vehicles, it is necessary to analyse the movement of autonomous vehicles by changing the behaviour parameters to select key parameters and their values, depending on the traffic situation. The research results show that a higher proportion of autonomous vehicles and a reduced distance between vehicles have a positive impact on traffic flow.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:836015
Study programmeTitle: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport
Course: Road Traffic and Transport
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 on2022-12-09 15:48:14