Sustav podrške pri odlučivanju u procesu regulacije željezničkog prometa temeljen na neizrazitoj logici

master's thesis

• Title (english): Decision Support System for Railway Traffic Control Based on Fuzzy Logic
• Author: Marin Širol
• Mentor: Hrvoje Haramina (mentor)
• Committee member: Hrvoje Haramina (predsjednik povjerenstva)
• Committee member: Tomislav Josip Mlinarić (član povjerenstva)
• Committee member: Marjana Petrović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Railway Transport); Zagreb
• Defense date and country: 2018-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Road and Rail Transport

Abstract

Razvojem umjetne inteligencije dolazi do sve veće mogućnosti njene primjene u različitim poslovima, u kojima može zamijeniti ljudsko djelovanje. Neizrazita logika jedna je od grana umjetne inteligencije te se može primjenjivati za izradu ekspertnih sustava koji pružaju podršku pri upravljanju prometom. Potreba za primjenom takvog sustava u željezničkom prometu javlja se kod centraliziranog upravljanja, gdje glavnu ulogu u upravljanju prometom ima dispečer, koji ima značajna radna opterećenja. U ovom radu predstavljen je novi model sustava podrške pri odlučivanju u procesu regulacije željezničkog prometa. Novi model sustava izrađen je u programu Matlab. Izrađeni model sustava rješava problem određivanja prioriteta vlakovima koji istovremeno žele pristupiti istim infrastrukturnim elementima. Primjena navedenog sustava podrške može dovesti do značajnijeg smanjenja radnog opterećenja dispečera. Analiza utjecaja rješenja prikazanog modela sustava podrške na odvijanje željezničkog prometa izvršena je u programu OpenTrack.

Abstract (english)

With the development of artificial intelligence there is an increasing opportunity of its application in the various jobs in which it can replace human operation. Fuzzy logic is one of the branches of artificial intelligence and it can be used to create expert systems that provide traffic management support. The need for application of such system in railway traffic occurs in centralized traffic control, where a dispatcher, which has significant workloads, has the main role in traffic management. A new model of decision support system for railway traffic is presented in this paper. The new model of the system was created in Matlab. Made model solves problem of prioritizing trains that simultaneously want to access the same infrastructure elements. Applying this support system can lead to a significant reduction of dispatcher's workload. The impact analysis of the solution of system model on railway traffic was performed in OpenTrack.

• Keywords: umjetna inteligencija; neizrazita logika; sustav podrške pri odlučivanju
• Keywords (english): artificial intelligence; fuzzy logic; decision support system
• Language: croatian
• URN:NBN: urn:nbn:hr:119:131913
• Study programme: Title: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport; Course: Railway Traffic and Transport; 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: 2019-01-07 14:42:46