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master's thesis
Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije
Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka, 2020. urn:nbn:hr:187:654672
Kolarić, Tereza
University of Rijeka
Faculty of Maritime Studies
Department of Logistics and Management

Institutional repository: Repository of the University of Rijeka, Faculty of Maritime Studies - FMSRI Repository

Cite this document

Kolarić, T. (2020). Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:654672

Kolarić, Tereza. "Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2020. https://urn.nsk.hr/urn:nbn:hr:187:654672

Kolarić, Tereza. "Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2020. https://urn.nsk.hr/urn:nbn:hr:187:654672

Kolarić, T. (2020). 'Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije', Master's thesis, University of Rijeka, Faculty of Maritime Studies, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:187:654672

Kolarić T. Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies; 2020 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:187:654672

T. Kolarić, "Pokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:187:654672

Metadata
TitlePokazatelji prijevozne usluge kroz primjenu teorije redova čekanja i simulacije
Title (english)Transport service indicators through the application of the queuing theory and simulation
AuthorTereza Kolarić
MentorSvjetlana Hess (mentor)
Committee memberEdvard Tijan (predsjednik povjerenstva)
Committee memberDražen Žgaljić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies
(Department of Logistics and Management)
Rijeka
Defense date and country2020-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Čekanje je fenomen koji se može naći u svakodnevnom životu u poštanskim uredima, bankama i na benzinskim stanicama. Čekanje nije isključivo ograničeno na ljude; poslovi čekaju da se obrade na stroju ili automobili čekaju na semaforima. U situacijama kada su kapaciteti ograničeni i ne mogu se zadovoljiti uvjeti potražnje pojavljuju se uska grla koja se manifestiraju kao red čekanja. Glavni cilj je izvršiti analizu reda čekanja radi ispitivanja učinka djelatnosti transporta kako bi se smanjilo čekanje usklađivanjem i pravovremenim informiranjem svih sudionika procesa. U ovom se radu nastoji modelirati protok prometa i istražiti kako bi se čekanje u prometu na konkretnom primjeru moglo minimizirati metodom teorije redova čekanja, te kako bi se smanjili zastoji na cestama. Izlazni se rezultati kasnije uspoređuju sa rezultatima dobivenim kroz kompjutersku simulaciju programom Arena, nadovezujući se na konkretan primjer. Na kraju se ističe problem gužvi jer povećavaju vrijeme transporta, zagađenje zraka, emisiju ugljičnog dioksida (CO), te emisije i potrošnju goriva.
Abstract (english)
Waiting is a phenomenon that can be found in everyday life in post offices, banks and at gas stations. Waiting is not exclusively limited to the human being; jobs are waiting to be processed on a machine and cars stop at traffic lights. In a situation where equipment is limited and unable to meet demand conditions, bottlenecks appear that manifest as the queue. The main goal is to perform an analysis of the waiting line in order to check the effectiveness of transport activities and to reduce the waiting, by harmonizing and timely information of all participants in the process. This paper try to model traffic flow models and explores how to minimize the waiting time in traffic on a concrete example using queueing theory, as well as how to reduce road congestions. The output results later are compared with the results obtain in a computer simulation, like Arena program, constructing on the concrete example. In the end, problem of congestion is emphasized that result is increasing transport time, air pollution, carbon dioxide (CO) emissions and fuel consumption.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:654672
Study programmeTitle: Logistics and Management in Maritime Industry and Transport
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka logistike i menadžmenta u pomorstvu (magistar/magistra inženjer/inženjerka logistike i menadžmenta u pomorstvu)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-11-30 15:02:45