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master's thesis
Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. urn:nbn:hr:119:495227
Merkaš, Mario
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Traffic Accident Expertise

Institutional repository: Faculty of Transport and Traffic Sciences

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Merkaš, M. (2020). Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:495227

Merkaš, Mario. "Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:495227

Merkaš, Mario. "Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:495227

Merkaš, M. (2020). 'Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:119:495227

Merkaš M. Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2020 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:119:495227

M. Merkaš, "Komparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:119:495227

Metadata
TitleKomparativna analiza metoda segmentiranja cestovnih dionica pri identifikaciji opasnih mjesta
Title (english)Comparative Analysis of Road Segment Methods for Black Spot Identification
AuthorMario Merkaš
MentorŽeljko Šarić (mentor)
Committee memberGoran Zovak (predsjednik povjerenstva)
Committee memberRajko Horvat (član povjerenstva)
Committee memberLjupko Šimunović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Traffic Accident Expertise)
Zagreb
Defense date and country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Road and Rail Transport
Abstract
U cilju povećanja sigurnosti u cestovnom prometu potrebno je smanjiti broj prometnih nesreća. Lokacije na kojima se događa veći broj prometnih nesreća nazivaju se opasna mjesta ili „crne točke“. Postupak identifikacije opasnih mjesta jedan je od najučinkovitijih u procesu smanjenja broja prometnih nesreća. Prilikom identifikacije opasnih mjesta potrebno je koristiti neku od metoda segmentiranja ceste na manje dijelove unutar kojih se promatraju nastale promete nesreće te određuje je li određeni segment identificiran kao opasno mjesto ili nije. U tu svrhu postoji nekoliko metoda segmentacije, a u ovom radu napravljena je komparativna analiza dvije segmentacijske metode: metoda podjele prometnice na fiksne dijelove i Sliding window metoda.
Abstract (english)
In order to increase road safety, it is necessary to reduce the number of traffic accidents. Locations where a large number of traffic accidents occur are called hazardous locations or „black spots“. The process of identification hazardous locations is one of the most effective in the process of reducing the number of traffic accidents. During the identification of hazardous locations, it is necessary to use one of the methods of segmenting the road into smaller parts within which the occurred traffic accidents are observed, and determine whether a certain segment is identified as a dangerous place or not. For this purpose, there are several methods of segmentation, and in this work a comparative analysis of two segmentation methods is made, the method of distribution the road into fixed parts and the Sliding window method.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:495227
Study programmeTitle: 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: Road 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-10-22 13:54:53