TY  - JOUR
PY  - 2017//
TI  - Neuro-fuzzy system modelling for the effects of intelligent transportation on road accident fatalities
JO  - Tehnicki Vjesnik
A1  - Rahimi, Amir Masoud
SP  - 1165
EP  - 1171
VL  - 24
IS  - 4
N2  - 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>
LA  - hr
SN  - 1330-3651
UR  - http://dx.doi.org/10.17559/TV-20151203230220
ID  - ref1
ER  -