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master's thesis
Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. urn:nbn:hr:119:789877
Kapusta, Borna
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

Kapusta, B. (2019). Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:789877

Kapusta, Borna. "Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:789877

Kapusta, Borna. "Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:789877

Kapusta, B. (2019). 'Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 27 September 2024, https://urn.nsk.hr/urn:nbn:hr:119:789877

Kapusta B. Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2019 [cited 2024 September 27] Available at: https://urn.nsk.hr/urn:nbn:hr:119:789877

B. Kapusta, "Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:119:789877

Metadata
TitleUpravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike
Title (english)Preemptive Traffic Light Control for Emergency Vehicles on Isolated Intersections Using Fuzzy Logic
AuthorBorna Kapusta
MentorEdouard Ivanjko (mentor)
Committee memberHrvoje Gold (predsjednik povjerenstva)
Committee memberMiroslav Vujić (član povjerenstva)
Committee memberLuka Novačko (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 country2019-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Zbog sve veće prometne potražnje i razvoja društva, u gradskim sredinama dolazi do sve više prometnih zagušenja i nesreća. Nemogućnost širenja prometne infrastrukture u gradskim sredinama stvara potrebu za uvodenjem pametnijih rješenja upravljanja već postojećom prometnom infrastrukturom. Takvi sustavi i pristupi upravljanja koji nam donose bolje iskorištavanje postojeće infrastrukture zovu se inteligentni transportni sustavi (ITS). Implementacijom servisa ITS-a za upravljanje semaforiziranim raskrižjem korisnicima može pružati rasterećenje prometa i informiranje putnika te dodatne mogućnosti poput dodjele prioriteta vozilima žurnih službi. Uvodenjem upravljanja prioritetima semaforiziranim raskrižjima moguće je smanjiti vrijeme putovanja odredenim skupinama vozila kao što su vozila žurnih službi. U radu je opisano i analizirano upravljanje prioritetima prolaska vozila žurnih službi kroz semaforizirano raskrižje primjenom neizrazite logike s naglaskom na optimizaciju pomoću genetskog algoritma. Za implementiranje i analiziranje algoritma, izradeno je okruženje za simulaciju takvog upravljanja korištenjem mikroskopskog simulatora VISSIM i programskog paketa MATLAB.
Abstract (english)
Due to increasing traffic demand and development of society in urban areas, the number of traffic congestions and accidents is on the rise. The inability to expand transportation infrastructure in urban areas is creating the need to introduce smarter management solutions for the existing transportation infrastructure. The systems and management approaches which better utilize existing infrastructure are called Intelligent Transport Systems (ITS). The implementation of ITS services in traffic light control can provide users with the added convenience of delivering better traffic demand and information to passengers as well as priority assignment to emergency services vehicles. By implementing preemptive traffic light control systems in urban areas it is possible to reduce the travel time of specific groups of vehicles such as emergency vehicles. This paper describes and analyses the preemptive traffic light control for emergency vehicles on isolated intersections using fuzzy logic with an emphasis on genetic algorithm optimization. To implement and analyze the algorithm, an environment for simulating such a system is developed using the microscopic simulator VISSIM and the MATLAB software package.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:789877
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 on2019-11-14 12:27:46