Comparison of Methods for Ramp Metering on the Example of Zagreb Bypass

master's thesis

• Title: Usporedba metode za upravljanje priljevnim tokovima na primjeru zagrebačke obilaznice
• Author: Ivana Galić
• Mentor: Edouard Ivanjko (mentor)
• Committee member: Sadko Mandžuka (predsjednik povjerenstva)
• Committee member: Miroslav Vujić (član povjerenstva)
• Committee member: Hrvoje Gold (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: 2015-09-24, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Intelligent Transport Systems and Logistics

Abstract

U ovom radu opisane su temeljne pretpostavke uvođenja sustava upravljanja priljevnim tokovima urbanih autocesta uslijed zagušenja te je prikazan pregled najčešće korištenih metoda upravljanja priljevnim tokovima. Također, analizirane su mogućnosti primjene metoda umjetne inteligencije za upravljanje priljevnim tokovima. Na izrađenom modelu zaobilaznice grada Zagreba, uz korištenje postojećih prometnih podataka simulirana je navedena obilaznica uz pomoć simulatora CTMSIM. Analizom rezultata simulacije uspoređeni su rezultati u slučaju kašnjenja, vremena putovanja i gustoće. Iz tih rezultata razvidno je manje zagušenje tijekom uporabe algoritama za upravljanje priljevnim tokovima.

Abstract (english)

This diploma thesis describes the main reasons for the introduction of ramp metering due to congestion and gives an overview of the most commonly used methods of managing the mainstream flows. Possibilities of applying artificial intelligence methods for ramp metering are analysed also. Using parameters of the bypass of the city of Zagreb a simulation model is createdand simulated usingof existing trafficdata. The macroscopic simulator CTMS is used for simulation. The analysis of the simulation results are compared according to delay, travel timeanddensity. From these results are reflected in less congestion by using algorithms to manage the inflow streams.

• Keywords: umjetna inteligencija; zagušenje; upravljanje priljevnim tokovima; model zaobilaznice; simulacija
• Keywords (english): Artificial Intelligence; congestion; managethe inflowstreams; bypass model; simulation
• Language: croatian
• URN:NBN: urn:nbn:hr:119:539998
• Study programme: Title: Inteligentni transportni sustavi i logistika; Study programme type: sveučilišni; Study level: diplomski; Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2015-09-30 11:37:49