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Table 5 Performance comparison between proposed ANN based model and traditional models

From: ANN based short-term traffic flow forecasting in undivided two lane highway

Models

MSE

RMSE

MAE

RSE

RRSE

RAE

R2

Random forest

217.718

14.7553

10.9593

0.2284

0.4779

0.4400

0.7716

Regression tree

388.380

19.7074

14.4908

0.4074

0.6383

0.5817

0.5926

SVM regression

898.723

29.9787

23.3781

0.9428

0.9710

0.9385

0.0572

K nearest neighbors Regression (KNN)

14.1294

3.7589

1.4239

0.0148

0.1217

0.0572

0.9852

Multiple linear regression

305.536

17.4796

13.3072

0.3205

0.5661

0.5342

0.6795

BP neural network

4.2848

2.06999

0.77114

0.09951

0.31546

0.16204

0.9962