@article{ref1,
title="Neuro-fuzzy system modelling for the effects of intelligent transportation on road accident fatalities",
journal="Tehnicki Vjesnik",
year="2017",
author="Rahimi, Amir Masoud",
volume="24",
number="4",
pages="1165-1171",
abstract="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.<p /><p>Language: hr</p>",
language="hr",
issn="1330-3651",
doi="10.17559/TV-20151203230220",
url="http://dx.doi.org/10.17559/TV-20151203230220"
}