Application of ANFIS model in road traffic and transportation: a literature review from 1993 to 2018

  • Mirko Stojčić Faculty of Transport and Traffic Engineering Doboj, University of East Sarajevo, Vojvode Mišića 52 Doboj, Bosnia and Herzegovina
Keywords: ANFIS, intelligent transportation systems, light signaling, vehicle routing, prediction, modeling

Abstract

The paper is focused on researching the application of the ANFIS (Adaptive Neuro Fuzzy Inference System) model in traffic and transport through a review of relevant papers. ANFIS, as an element of artificial intelligence, is widely used within intelligent transport systems. All collected papers are divided into 7 sub-areas: 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 was performed with a tabular overview of the input and output variables, and in the third section the discussion of the results was given. It was found that the steering and control of vehicles represent a sub-area with the highest percentage in the total number of examined papers, while security applications are in second place.

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Published
2018-12-19
How to Cite
Stojčić, M. (2018). Application of ANFIS model in road traffic and transportation: a literature review from 1993 to 2018. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 40-61. Retrieved from http://www.oresta.org/index.php/oresta/article/view/5