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master's thesis
Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. urn:nbn:hr:119:502434
Miletić, Mladen
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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Miletić, M. (2019). Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:502434

Miletić, Mladen. "Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:502434

Miletić, Mladen. "Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:119:502434

Miletić, M. (2019). 'Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 03 June 2024, https://urn.nsk.hr/urn:nbn:hr:119:502434

Miletić M. Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2019 [cited 2024 June 03] Available at: https://urn.nsk.hr/urn:nbn:hr:119:502434

M. Miletić, "Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:119:502434

Metadata
TitleAdaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža
Title (english)Adaptive Control of Isolated Signalized Intersection using Neural Networks
AuthorMladen Miletić
MentorEdouard Ivanjko (mentor)
Committee memberSadko Mandžuka (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 country2019-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Zbog sve većeg rasta prometne potražnje u gradskim sredinama dolazi do značajnog smanjenja razine uslužnosti mobilnosti u gradskim sredinama. Dio problema su i zastarjeli sustavi upravljanja semaforiziranim raskrižjem zasnovani na ustaljenim signalnim planovima. Razvojem sustava zasnovanih na umjetnoj inteligenciji moguće je riješiti neke od problema upravljanja semaforiziranim raskrižjem. Korištenjem umjetne neuronske mreže i algoritma ojačanog učenja moguće je izgraditi sustav za adaptivno upravljanje semaforiziranim raskrižjem. U ovom radu je simulirano i analizirano izolirano semaforizirano raskrižje koristeći razvijeno simulacijsko okruženje uz algoritam ojačanog učenja zasnovanog na neuronskoj mreži. Iz rezultata se zaklju čuje da se korištenjem neuronskih mreža u kombinaciji s ojačanim učenjem mogu postići poboljšanja u upravljanju semaforiziranog raskrižja.
Abstract (english)
Due to increasing traffic demand in urban areas there is a significant decrease od the level of service of urban mobility. Part of the problem are old control systems of signalized intersection that use fixed signal programs. By developing systems based on artificial intelligence it is possible to solve some of the problems of signalized intersection control. With the use of artificial neural networks and reinforcement learning algorithms it is possible to create a system for adaptive control of a signalized intersection. In this thesis, an isolated signalized intersection is simulated and analyzed with the implementation of reinforcement learning algorithm based on neural networks. From the results it can be concluded that the use of neural networks and reinforcement learning algorithms can achieve improvements in signalized intersection control.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:502434
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 on2019-07-16 10:06:00