Technical gazette, Vol. 24 No. 4, 2017.
Original scientific paper
https://doi.org/10.17559/TV-20151203230220
Neuro-fuzzy system modelling for the effects of intelligent transportation on road accident fatalities
Amir Masoud Rahimi
orcid.org/0000-0002-4851-150X
; Civil Engineering Department, Engineering Faculty, University of Zanjan, 45371-38791 Zanjan, Iran
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.
Keywords
ANFIS; intelligent transportation systems; road accident; safety
Hrčak ID:
185496
URI
Publication date:
31.7.2017.
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