prikaz prve stranice dokumenta Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima
  Download
PDF 2.17 MB
master's thesis
Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. urn:nbn:hr:119:027424
Krajnović, Branka
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Intelligent Transport Systems

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Krajnović, B. (2020). Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:027424

Krajnović, Branka. "Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:027424

Krajnović, Branka. "Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:027424

Krajnović, B. (2020). 'Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:119:027424

Krajnović B. Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2020 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:119:027424

B. Krajnović, "Evaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:119:027424

Metadata
TitleEvaluacija tehnologija za identifikaciju vozila u inteligentnim transportnim sustavima
Title (english)Evaluation of Vehicle Identification Technology in Intelligent Transportation Systems
AuthorBranka Krajnović
MentorNiko Jelušić (mentor)
Committee memberMario Muštra (predsjednik povjerenstva)
Committee memberPero Škorput (član povjerenstva)
Committee memberEdouard Ivanjko (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Intelligent Transport Systems)
Zagreb
Defense date and country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
Inteligentni transportni sustavi razvijaju se kao rješenje za probleme zagušenja, sigurnosti, očuvanja okoliša i druge. Značajan doprinos učinkovitosti ITS sustava pruža identifikacija vozila. U ovom radu prikazana je uloga identifikacije u inteligentnim transportnim sustavima. Opisane su tehnologije koje mogu imati ulogu u identifikaciji vozila poput detektora prometnog toka, RFID (engl. Radio-Frequency Identification), NFC (engl. Near Field Communication), Bluetooth, Wi-Fi i tehnologija automatskog prepoznavanja registarskih oznaka (engl. Automatic Number Plate Recognition, ANPR). Za svaku od navedenih tehnologija prikazane su prednosti i nedostaci, te su odabrani kriteriji za njihovu evaluaciju. Prezentirana je problematika privatnosti i usklađenost sa aktualnom zakonskom regulativom. Prikazani su rezultati evaluacije tehnologija po odabranim kriterijima.
Abstract (english)
Intelligent transport systems are developing as a solution for traffic congestions, safety manners, environmental protection, etc. The field of vehicle identification stands out as a part of intelligent transport systems and it is backed by the application of various modern technologies. The role of vehicle identification in intelligent transportation systems is shown in this paper. Technologies such as traffic flow detectors, RFID (Radio-Frequency Identification), NFC (Near Field Communication), Bluetooth, Wi-Fi, and automatic number plate recognition (ANPR) are presented systematically. In this research, all of the advantages and disadvantages of these technologies are presented as the objective criteria for the evaluation is established. The privacy concerns are discussed but the technology can be used responsibly under the current legislation. Results of the evaluation are shown in the end of the paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:027424
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-11-06 11:45:35