Proširenje neizrazitog adaptivnog upravljanja semaforiziranim raskrižjem prioritetima prolaska vozila žurnih službi

master's thesis

• Title (english): Extension of Fuzzy Adaptive Traffic Signal Control with Preemption for Emergency Vehicles
• Author: Izidor Oremović
• Mentor: Edouard Ivanjko (mentor)
• Mentor: Mladen Miletić (komentor)
• Committee member: Miroslav Vujić (predsjednik povjerenstva)
• Committee member: Martin Gregurić (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: 2020-07-14, 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: Inteligentni transportni sustavi; semaforizirano raskrižje; signalni plan; neizrazita logika; genetski algoritam; prioritet prolaska
• Keywords (english): Intelligent Transportation Systems; signalized intersection; signal program; fuzzy logic; genetic algorithm; traffic signal preemption
• Language: croatian
• URN:NBN: urn:nbn:hr:119:392261
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-08-21 08:08:03