U radu se predlaže neuro-fuzzy sustav za kvantitativnu procjenu učinaka inteligentnog prijevoznog sustava i tehnologija na broj žrtava. Osnovna ideja razvoja neuro-fuzzy sustava zasniva se na činjenici da inteligentni prijevozni sustavi i tehnologije aktiviraju neke sigurnosne mehanizme, a aktiviranje sigurnosnih mehanizama djelovat će pozitivno na sigurnost na cesti. Odabrano je devet inteligentnih prijevoznih sustava u svrhu proučavanja njihovih učinaka na sigurnost na cesti. Provedena je stručna anketa i na osnovu rezultata razvijen je sustav neizrazitog zaključivanja kako bi se procijenila stopa smrtnosti postojećeg prijevoznog sustava. Metoda prilagodljivog sustava neuro-neizrazitog zaključivanja (ANFIS) primijenjena je za identifikaciju svojstava sustava neizrazitog zaključivanja - FIS-a uključujući bazu fuzzy pravila i izlazne funkcije FIS-a. Rezultat neuro-fuzzy modeliranja pokazuje da su nadzor kamerom i nadzor/upozorenje pospanosti najučinkovitije tehnologije za sprečavanje prometnih nezgoda. ; This paper proposes a Neuro-fuzzy system for quantitative assessment of the effects of intelligent transportation systems and technologies on road fatalities. The basic idea in developing Neuro-fuzzy system is the fact that intelligent transportation systems and technologies activate some safety mechanisms and in turn the activation of safety mechanisms will have a positive impact on road safety. Nine intelligent transportation systems are selected to study their effects on road safety. Expert questionnaire survey is performed and based on its results, a fuzzy inference system is developed to estimate the fatality rate in a given transportation system. Adaptive network based fuzzy inference system (ANFIS) method is used to identify the FIS properties including fuzzy rule base and FIS output functions. The result of neuro-fuzzy modelling shows that camera monitoring and drowsiness monitoring/warning are the most influencing technologies in avoiding road accidents and fatalities.
Modeliranje neuro-fuzzy sustava u svrhu analize učinaka inteligentnog prijevoza na broj žrtava kod prometnih nezgoda ; Neuro-fuzzy system modelling for the effects of intelligent transportation on road accident fatalities
31.07.2017
Tehnički vjesnik ; ISSN 1330-3651 (Print) ; ISSN 1848-6339 (Online) ; Volume 24 ; Issue 4
Aufsatz (Zeitschrift)
Elektronische Ressource
Kroatisch , Englisch
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