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Title:Pametne naprave za preprečevanje vožnje pod vplivom alkohola
Authors:ID Jugović, Bogdana (Author)
ID Gruden, Chiara (Mentor) More about this mentor... New window
Files:.pdf VS_Jugovic_Bogdana_2026.pdf (1,76 MB)
MD5: 33AC7596017680F99356A4EC4CA0B1FF
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:V zaključnem delu smo raziskali razvoj, delovanje in učinkovitost sodobnih tehnologij za detekcijo alkohola pri voznikih ter njihov vpliv na izboljšanje prometne varnosti v Sloveniji ter Bosni in Hercegovini. Namen raziskave je bil primerjati zakonodajne ureditve na področju vožnje pod vplivom alkohola, analizirati razvoj prometnih nesreč v obdobju 2020–2024, predstaviti najnaprednejše senzorske in biometrične tehnologije ter oceniti njihov potencial pri zmanjševanju tveganja prometnih nesreč. Posebna pozornost je bila namenjena senzorjem MQ-3, sistemom DADSS, transdermalnim detektorjem in optičnim metodam, ki omogočajo hitre, pasivne in zanesljive meritve koncentracije alkohola. Raziskava je pokazala, da se zakonodajni pristopi med državama pomembno razlikujejo, kar vpliva na izvajanje nadzora, prometno disciplino in posledično tudi na število prometnih nesreč. Analiza prometnih nesreč v Sloveniji ter Bosni in Hercegovini je pokazala, da alkohol kljub tehnološkemu napredku in preventivnim programom ostaja eden od ključnih dejavnikov najtežjih prometnih izidov. Ugotovili smo, da imajo sodobne naprave za detekcijo alkohola velik potencial za zmanjšanje števila nesreč, še posebej ob obvezni vgradnji v nova vozila in ustrezni zakonodajni podpori. Ključni izzivi pri uvedbi teh sistemov so zagotavljanje natančnosti, varstvo osebnih podatkov, uporabniška sprejemljivost in tehnična integracija v različna vozila.
Keywords:detekcija alkohola, prometna varnost, sodobni senzorji, pametni sistemi v vozilih
Place of publishing:Maribor
Year of publishing:2026
PID:20.500.12556/DKUM-100336 New window
Publication date in DKUM:24.09.2026
Views:27
Downloads:0
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FG
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:14.09.2026

Secondary language

Language:English
Title:Smart devices for preventing driving under the influence of alcohol
Abstract:In this thesis, we examined the development, operation, and effectiveness of modern technologies for detecting alcohol in drivers and their impact on improving road safety in Slovenia and Bosnia and Herzegovina. The aim of the research was to compare legislative regulations concerning driving under the influence of alcohol, analyse the development of traffic accidents in the period from 2020 to 2024, present the most advanced sensor and biometric technologies, and assess their potential for reducing the risk of traffic accidents. Special attention was given to MQ-3 sensors, DADSS systems, transdermal detectors, and optical methods that enable rapid, passive, and reliable measurement of alcohol concentration. The research showed that legislative approaches between the two countries differ significantly, which affects the implementation of control measures, traffic discipline, and consequently the number of traffic accidents. An analysis of traffic accidents in Slovenia and Bosnia and Herzegovina showed that, despite technological progress and preventive programmes, alcohol remains one of the key factors contributing to the most severe traffic outcomes. We found that modern alcohol detection devices have significant potential to reduce the number of accidents, particularly if they are made mandatory in new vehicles and supported by appropriate legislation. The main challenges in implementing these systems include ensuring accuracy, protecting personal data, user acceptance, and technical integration into different types of vehicles.
Keywords:alcohol detection, traffic safety, modern sensors, intelligent in-vehicle systems, prevention of drunk driving


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