APPLICATION OF THE ANFIS MODEL IN ROAD TRAFFIC AND TRANSPORT ATION : A LITERATURE REVIEW FROM 1993 TO 2018

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dc.citation.epage61
dc.citation.spage40
dc.citation.volume1
dc.contributor.authorStojčić, Mirko
dc.date.accessioned2023-07-18T10:04:06Z
dc.date.available2023-07-18T10:04:06Z
dc.date.issued2018
dc.description.abstractThe paper’s focus is on researching the application of the ANFIS (Adaptive Neuro Fuzzy Inference System) model in traffic and transport through a review of relevant papers. The ANFIS, as an element of artificial intelligence, is widely used in intelligent transport systems. All collected papers are divided into 7 sub-areas, namely: 1) vehicle routing, 2) traffic control at intersections with light signaling, 3) vehicle steering and control, 4) safety, 5) modeling of fuel consumption, engine performance and exhaust emissions, 6) traffic congestion prediction, and 7) other applications. For each sub-area, the analysis of the proposed models is performed with a tabular overview of respective input and output variables, while in the third section the discussion of the results is given. It is found that the steering and control of vehicles represent a sub-area with the highest percentage in the total number of examined papers, while the security applications take second place
dc.identifier.doi10.31181/oresta19012010140s
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/476
dc.language.isoen
dc.sourceOperational Research in Engineering Sciences: Theory and Applications
dc.subjectANFIS, Intelligent Transportation Systems, Light Signaling, Vehicle Routing, Prediction, Modeling
dc.titleAPPLICATION OF THE ANFIS MODEL IN ROAD TRAFFIC AND TRANSPORT ATION : A LITERATURE REVIEW FROM 1993 TO 2018
dc.typeArticle
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Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]