Upravljanje prioritetom prolaska vozila žurnih službi kroz izolirano semaforizirano raskrižje primjenom neizrazite logike

master's thesis

• Title (english): Preemptive Traffic Light Control for Emergency Vehicles on Isolated Intersections Using Fuzzy Logic
• Author: Borna Kapusta
• Mentor: Edouard Ivanjko (mentor)
• Committee member: Hrvoje Gold (predsjednik povjerenstva)
• Committee member: Miroslav Vujić (član povjerenstva)
• Committee member: Luka Novačko (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: 2019-09-25, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Intelligent Transport Systems and Logistics

Abstract

Zbog sve veće prometne potražnje i razvoja društva, u gradskim sredinama dolazi do sve više prometnih zagušenja i nesreća. Nemogućnost širenja prometne infrastrukture u gradskim sredinama stvara potrebu za uvodenjem pametnijih rješenja upravljanja već postojećom prometnom infrastrukturom. Takvi sustavi i pristupi upravljanja koji nam donose bolje iskorištavanje postojeće infrastrukture zovu se inteligentni transportni sustavi (ITS). Implementacijom servisa ITS-a za upravljanje semaforiziranim raskrižjem korisnicima može pružati rasterećenje prometa i informiranje putnika te dodatne mogućnosti poput dodjele prioriteta vozilima žurnih službi. Uvodenjem upravljanja prioritetima semaforiziranim raskrižjima moguće je smanjiti vrijeme putovanja odredenim skupinama vozila kao što su vozila žurnih službi. U radu je opisano i analizirano upravljanje prioritetima prolaska vozila žurnih službi kroz semaforizirano raskrižje primjenom neizrazite logike s naglaskom na optimizaciju pomoću genetskog algoritma. Za implementiranje i analiziranje algoritma, izradeno je okruženje za simulaciju takvog upravljanja korištenjem mikroskopskog simulatora VISSIM i programskog paketa MATLAB.

Abstract (english)

Due to increasing traffic demand and development of society in urban areas, the number of traffic congestions and accidents is on the rise. The inability to expand transportation infrastructure in urban areas is creating the need to introduce smarter management solutions for the existing transportation infrastructure. The systems and management approaches which better utilize existing infrastructure are called Intelligent Transport Systems (ITS). The implementation of ITS services in traffic light control can provide users with the added convenience of delivering better traffic demand and information to passengers as well as priority assignment to emergency services vehicles. By implementing preemptive traffic light control systems in urban areas it is possible to reduce the travel time of specific groups of vehicles such as emergency vehicles. This paper describes and analyses the preemptive traffic light control for emergency vehicles on isolated intersections using fuzzy logic with an emphasis on genetic algorithm optimization. To implement and analyze the algorithm, an environment for simulating such a system is developed using the microscopic simulator VISSIM and the MATLAB software package.

• Keywords: inteligentni transportni sustavi; upravljanje prioritetima za vozila žurne službe; neizrazito upravljanje; genetski algoritam (GA); adaptivno upravljanje
• Keywords (english): intelligent transport systems; priority control of emergency vehicles; fuzzy control; genetic algorithm (GA); adaptive control
• Language: croatian
• URN:NBN: urn:nbn:hr:119:789877
• 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: 2019-11-14 12:27:46