Mogućnosti primjene neizrazite logike za određivanje redoslijeda faza kod semaforiziranih raskrižja

undergraduate thesis

• Title (english): Possibility of Applying Fuzzy Logic in Determining Phase Order for Signalized Intersections
• Author: Robert Šimić
• Mentor: Edouard Ivanjko (mentor)
• Committee member: Miroslav Vujić (predsjednik povjerenstva)
• Committee member: Luka Novačko (član povjerenstva)
• Committee member: Sadko Mandžuka (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Intelligent Transport Systems and Logistics); (Department of Intelligent Transport Systems); Zagreb
• Defense date and country: 2018-09-17, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Intelligent Transport Systems and Logistics

Abstract

U ovom završnom radu opisan je sustav adaptivnog upravljanja signalnih planova semaforiziranog raskrižja koji koristi neizrazitu logiku u svrhu boljeg iskorištavanja kapaciteta prometnice, smanjivanja redova i vremena čekanja, upravljanje ulaznim i izlaznim tokovima te prevenciju prometnog zagušenja. S obzirom na sve veće korištenje cestovnih vozila u prometu, potrebno je optimizirati prometne tokove unutar već postojeće infrastrukture korištenjem tehnologija u sklopu inteligentnih transportnih sustava. Izrađeni sustav koristi se isključivo promjenom redoslijeda signalnih faza kako bi se optimizirali slučajevi prometne potražnje na izoliranom semaforiziranom raskrižju. Korištenje neizrazite logike omogućuje pokrivanje mogućih slučajeva popunjenosti prometnih tokova korištenjem unaprijed definiranih pravila na temelju kojih se vrši izmjena signalnih faza.

Abstract (english)

In this bachelor's thesis an adaptive control system for signalized intersections has been presented. The system uses fuzzy logic to fully optimize traffic flow, minimize wait times, queue length and controlling arrival and exit flow in order to prevent traffic congestion throughout the observed signalized intersection. Given that road traffic's use has been largely increased over years, it is necessary to optimize traffic flow in an already existing traffic infrastructure using technologies within intelligent transport systems. The designed system makes an exclusive use of changing the signal phase order to optimize functionality for all traffic demand scenarios covered in this work. Fuzzy logic enables the use of predefined rules which serve as a base for predicting possible cases of traffic flow, thus giving a better insight over further optimizing phase order in the intersection.

• Keywords: adaptivno upravljanje; neizrazita logika; promjena faza; semaforizirano raskrižje; prometno zagušenje; inteligentni transportni sustavi; mikroskopska simulacija
• Keywords (english): adaptive control; fuzzy logic; phase order; signalized intersection; traffic congestion; inteligent transport systems; microscopic simulation
• Language: croatian
• URN:NBN: urn:nbn:hr:119:292516
• Study programme: Title: Intelligent Transport Systems and Logistics; specializations in: Intelligent Transport Systems, Logistics; Course: Intelligent Transport Systems; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2018-09-19 16:51:41