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Performance Evaluation of a Hybrid PSO Enhanced ANFIS Model in Prediction of Traffic Flow of Vehicles on Freeways: Traffic Data Evidence from South Africa
Published 2021-12-01“…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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Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections
Published 2023-01-01“…We used 70% of the traffic data for training and 30% for testing. The ANFIS and ANFIS-GA results showed training performance of (<i>R</i><sup>2</sup>) 0.9709 and 0.8979 and testing performance of (<i>R</i><sup>2</sup>) 0.9790 and 0.9980. …”
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Stability Analysis and Prediction of Traffic Flow of Trucks at Road Intersections Based on Heterogenous Optimal Velocity and Artificial Neural Network Model
Published 2022-09-01“…The truck traffic data was collected using up-to-date equipment such as video cameras and inductive loop detectors from the South Africa transportation network. During the ANN modelling of the truck traffic flow, we used 956 traffic datasets divided into 70% for training and 15% each for testing and validation. …”
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