Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda

doctoral thesis

• Title (english): Predictive roadworthiness of vehicles model based on periodical technical inspections
• Author: Igor Šiško; VIAF: 305748455
• Mentor: Dragutin Lisjak (mentor)
• Committee member: Biserka Runje (predsjednik povjerenstva)
• Committee member: Dragutin Lisjak (član povjerenstva)
• Committee member: Ivica Veža (član povjerenstva); MBZ: 95643
• Committee member: Zoran Jurković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2015-07-02, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering
• Universal decimal classification (UDC): 629.3 - Land vehicle engineering (excluding rail vehicles)

Abstract

Tehnički pregled vozila djelatnost je od općeg (nacionalnog) interesa u kontekstu provjere tehničke ispravnosti vozila, koja ima izravni utjecaj na razinu sigurnosti prometa na cestama. Povratna informacija glede rezultata tehničkog pregleda vozila, posebno u situaciji kada se na vozilu utvrde tehničke neispravnosti koje za posljedicu imaju negativan rezultat vozila na tehničkom pregledu (“pad” vozila na tehničkom pregledu), od iznimnog je značaja za proizvođača i vlasnika/korisnika vozila, kako u pogledu podizanja razine tehničke ispravnosti vozila u eksploataciji, tako i u pogledu gospodarenja istim. Cilj ovog znanstvenog istraživanja je izraditi prediktivni model tehničke ispravnosti osobnih vozila temeljem rezultata tehničkih pregleda, primjenom metoda poslovne inteligencije (rudarenja podataka, stabla odlučivanja, CHAID algoritmi, neuronske mreže).

Abstract (english)

Technical vehicles inspection procedure is of general (national) interest in the context of the roadworthiness of vehicles, which has a direct impact on the security of the Road Traffic safety. Feedback regarding the results of periodical technical inspections (PTI) of vehicles, especially in a situation where the vehicle malfunctions are determined, result in a negative outcome in the vehicle technical inspection, is of great importance for the manufacturers and owners/users of vehicles, both in the context of raising the level of roadworthiness of vehicles in exploitation and in the same context, management. Main goal of this scientific research is to build a predictive roadworthiness of passenger vehicles model based on the results of technical inspections, by using methods of Business Intelligence (Data Mining, Decision trees, CHAID algorithms, neural networks).

• Keywords: Osobni automobil/vozilo; tehnički pregled; tehnička ispravnost; prediktivni model; sigurnost cestovnog prometa
• Keywords (english): personal automobile/vehicle; periodical technical inspection; roadworthiness; predictive model; road traffic safety
• Language: croatian
• URN:NBN: urn:nbn:hr:235:361568
• Study programme: Title: Mechanical Engineering and Naval Architecture; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti (doktor/doktorica znanosti, područje tehničkih znanosti)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-12-04 07:37:44