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master's thesis
Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. urn:nbn:hr:119:392261
Oremović, Izidor
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

Oremović, I. (2020). Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:392261

Oremović, Izidor. "Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:392261

Oremović, Izidor. "Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:392261

Oremović, I. (2020). 'Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 02 October 2024, https://urn.nsk.hr/urn:nbn:hr:119:392261

Oremović I. Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2020 [cited 2024 October 02] Available at: https://urn.nsk.hr/urn:nbn:hr:119:392261

I. Oremović, "Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:119:392261

Metadata
TitleProširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi
Title (english)Extension of Fuzzy Adaptive Traffic Signal Control with Preemption for Emergency Vehicles
AuthorIzidor Oremović
MentorEdouard Ivanjko (mentor)
MentorMladen Miletić (komentor)
Committee memberMiroslav Vujić (predsjednik povjerenstva)
Committee memberMartin Gregurić (član povjerenstva)
Committee memberSadko Mandžuka (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 country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Broj vozila u opticaju je diljem svijeta u konstantom rastu, no prometna infrastruktura se u većini slučajeva ne može prilagođavati tom rastu fizičkim preinakama u veličini. Iz tog razloga je potrebno razvijati inteligentna rješenja koja mogu iskoristiti postojeću infrastrukturu na optimalan način. U tome je sadržana i ideja adaptivnog upravljanja semaforiziranim raskrižjima. U upravljanju prometom često postoji potreba za ispunjavanjem više ciljeva, što je slučaj i s ovim radom u kojemu je cilj bio izraditi neizraziti sustav adaptivnog upravljanja raskrižjem koji će umanjiti vrijeme putovanja svih vozila te pružiti prioritetni prolazak za vozila žurne službe. U radu je izrađen neizraziti upravljački sustav za adaptivno upravljanje signalnim planovima. Utjecaj na signalni plan je u vidu promjene redoslijeda faza i njihovog trajanja. U upravljački sustav je također ugrađena i osjetljivost na blizinu vozila žurne službe sa ciljem da propusti to vozilo pomoću intervencija na signalnom planu. Upravljački sustav je dodatno optimiran genetskim algoritmom kako bi se dodatno umanjilo vrijeme koje sva vozila i vozila žurne službe provode putujući kroz prometnu mrežu. Rad upravljačkog sustava je testiran u mikroskopskom prometnom simulatoru PTV VISSIM te je sami upravljački sustav izrađen u programskom paketu MATLAB. Evaluacija rada sustava je pokazala da su ispunjeni ciljevi optimizacije te da upravljački sustav uspješno smanjuje prosječne duljine repova čekanja i vremena putovanja vozila.
Abstract (english)
The number of vehicles in circulation around the world is continuously increasing, but the traffic infrastructure mostly cannot adapt to this increase with physical changes in size. Thus, it is necessary to develop intelligent solutions that can optimally use the existing infrastructure. That is the idea of adaptive traffic control. In traffic management, there is often a need to meet multiple objectives, as was the case with this work. This thesis aims to develop a fuzzy adaptive signal controller that can reduce the travel time of all vehicles and provide priority of passage to emergency vehicles. A fuzzy control system is designed for adaptive control of signal programs. The impact on the signal program is given in the form of a change in the order of the signal phases and their corresponding duration. The controller also has a built-in sensitivity to the proximity of the emergency service vehicle to give the right to pass to that vehicle employing signal program interventions. The controller is further optimized by a genetic algorithm to reduce the time that all vehicles and emergency vehicles spend traveling through the traffic network. The operation of the fuzzy signal controller was tested in the microscopic traffic simulator PTV VISSIM and the controller itself was implemented in the software package MATLAB. The evaluation of the system's operation showed that the optimization goals were met and that the fuzzy control system successfully reduced the average queue lengths and vehicle travel times.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:392261
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 on2020-08-21 08:08:03