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master's thesis
Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2016. urn:nbn:hr:119:386422
Tremski, Štefica
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Traffic Signalling

Institutional repository: Faculty of Transport and Traffic Sciences

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Tremski, Š. (2016). Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:386422

Tremski, Štefica. "Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2016. https://urn.nsk.hr/urn:nbn:hr:119:386422

Tremski, Štefica. "Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2016. https://urn.nsk.hr/urn:nbn:hr:119:386422

Tremski, Š. (2016). 'Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:119:386422

Tremski Š. Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2016 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:119:386422

Š. Tremski, "Analiza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:119:386422

Metadata
TitleAnaliza prepoznavanja značenja prometnih znakova primjenom sustava za praćenje oka vozača
Title (english)Analysis of the Traffic Signs Perception Using the Method of Montoring the Driver's Eyes
AuthorŠtefica Tremski
MentorDarko Babić (mentor)
Committee memberAnđelko Ščukanec (predsjednik povjerenstva)
Committee memberLuka Novačko (član povjerenstva)
Committee memberMario Šafran (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Traffic Signalling)
Zagreb
Defense date and country2016-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Road and Rail Transport
Abstract
Prometni znakovi obavještavaju vozače o stanju na cestama, opasnostima, ograničenjima te drugim informacijama potrebnim za njihovo sigurno kretanje prometnicama. Prijenos informacija sudionicima u prometu putem prometnih znakova ovisi o kvaliteti prometnog znaka, izraženoj putem snage retrorefleksije. Osim toga, važan je i položaj lokacije znaka u odnosu na smjer kretanja vozila. Pravovremeno uočavanje prometnog znaka veliki je faktor za sigurno odvijanje prometa. Percepcija je složeni nesvjesni proces aktivnog prikupljanja, organiziranja i interpretiranja primljenih osjetnih informacija i već postojećih informacija koje omogućuju pojedincu upoznavanja i prepoznavanje značenja predmeta, pojava i događaja u okolini. U radu je potrebno pojasniti pojam vizualne percepcije te što je metoda praćenja oka vozača i kako se ona provodi. Primjenom sustava za praćenje oka vozača provedeno je istraživanje u laboratorijskim uvjetima u prostorijama Zavoda za prometnu signalizaciju, Fakulteta prometnih znanosti. Metodom je potrebno analizirati vozačevu percepciju prometnog znaka, koliko dobro vozači razlikuju znakove opasnosti, obavijesti i izričitih naredbi te donijeti zaključak o čimbenicima koji utječu na uočavanje i pravovremeno razumijevanje znaka.
Abstract (english)
Traffic signs inform drivers about the road conditions, risks, limitations and other information necessary for their safe movement on roads. Transfer of information to the road users using traffic signs depends on the quality of the traffic sign, expressed through the power of retroreflection. Besides that, a very important thing is a sign position in relation to the traveling direction. Timely recognition of traffic sign is a significant factor for the traffic safety. Perception is a complex unconscious process of active collecting, organizing and interpreting received sensory data and already existing information that enable the individual to explore and identify the meaning of objects, phenomena and events in the environment. In this diploma thesis, the concept of visual perception and the methods of monitoring the driver's eyes and how it's implemented will be explained. By applying the system for driver's eyes tracking, a research was conducted in the laboratory at the Department of Traffic Signalization, Faculty of Transport and Traffic Sciences. Using the eye tracking method, the driver's perception of the traffic sign has been analyzed. Also, in this thesis has been analyzed how well the drivers differ danger, notification and prohibitory signs. In the final part of the thesis a conclusion about the factors that influence the identification and timely understanding of the traffic signs will be given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:386422
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 on2016-10-24 13:09:11