Performance Evaluation of a Hybrid PSO Enhanced ANFIS Model in Prediction of Traffic Flow of Vehicles on Freeways: Traffic Data Evidence from South Africa by Isaac Oyeyemi Olayode, Alessandro Severino, Lagouge Kwanda Tartibu, Fabio Arena, Ziya Cakici

“…In this research, we developed an adaptive neuro-fuzzy inference system trained by particle swarm optimization (ANFIS-PSO) by performing an evaluative performance of the model through traffic flow modelling of vehicles on five freeways (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mn>1</mn><mo>,</mo><mi>N</mi><mn>3</mn><mo>,</mo><mi>N</mi><mn>12</mn><mo>,</mo><mi>N</mi><mn>14</mn><mo> </mo><mi>and</mi><mo> </mo><mi>N</mi><mn>17</mn><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula> using South Africa Transportation System as a case study. …”
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Prediction of Vehicular Traffic Flow Using Levenberg-Marquardt Artificial Neural Network Model: Italy Road Transportation System by Isaac Oyeyemi Olayode, Alessandro Severino, Tiziana Campisi, Lagouge Kwanda Tartibu

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