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master's thesis
Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja
2018. urn:nbn:hr:168:108365
Penezić, Ema
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Penezić, E. (2018). Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:108365

Penezić, Ema. "Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:108365

Penezić, Ema. "Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:108365

Penezić, E. (2018). 'Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:108365

Penezić E. Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:108365

E. Penezić, "Upravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:108365

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Metadata
TitleUpravljanje prometnim svjetlima u svrhu smanjivanja prometnih gužvi pomoću potpornog učenja
Title (english)Traffic Lights Control for Traffic Jams Reduction Using Reinforcement Learning
AuthorEma Penezić
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberSiniša Srbljić (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Problematika prometnih gužvi postaje svakodnevno sve veći problem. Cilj ovog rada je pokušati smanjiti gužvu u prometu korištenjem algoritama strojnog učenje, uz pomoć postojećeg simulatora prometa. Rad ostvaruje algoritam potpornog učenja za upravljanje semaforima, s ciljem smanjenja broja vozila koji se nalaze na križanju. Također, opisuje teoretsku pozadinu rješenja korištenog prilikom izrade algoritma.
Abstract (english)
The problem of traffic jams has become a part of everyday life. The goal of this thesis is to lower traffic jams using machine learning algorithm, with support of existing traffic simulator. The thesis implements reinforcement learning algorithm for traffic lights control, trying to lower the number number of vehicles on the crossroad. It also explains the theory behind the implemented solution.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:108365
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 23:47:12