Comparison Of Different Approaches In Traffic Forecasting Models For The D-200 Highway In Turkey

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Küçük Resim

Tarih

2018

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Fac Transport Silesian Univ Technology

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Short-term traffic estimations have a significant influence in terms of effectively controlling vehicle traffic. In this study, short-term traffic forecasting models have been developed based on different approaches. Seasonal autoregressive integrated moving average (SARIMA), artificial bee colony (ABC) and differential evolution (DE) algorithms are the techniques used in the optimization of models, which have been developed by using observation data for the D-200 highway in Turkey. 80% of the data were used for training, with the remaining data used for testing. The performances of the models were illustrated with mean absolute errors (MAEs), mean absolute percentage errors (MAPEs), the coefficient of determination (R2) and the root-mean-square errors (RMSEs). It is understood that all the models provided consistent and useful results when the developed models were compared with the statistical results. In the models created separately for two lanes, the R2 values of the models were calculated to be approximately 92% for the right lane, which is generally used by heavy vehicles, and 88% for the left lane, which is used by less traffic. Based on the MAE and RMSE values, the model developed by the ABC algorithm gave the lowest error and showed more effective performance than the other approaches. Thus, the ABC model showed that it is appropriate for use on other highways in Turkey.

Açıklama

AKGUNGOR, ALI PAYIDAR/0000-0003-0669-5715

Anahtar Kelimeler

traffic forecasting, SARIMA, differential evolution algorithm, artificial bee colony algorithm

Kaynak

Scientific Journal Of Silesian University Of Technology-Series Transport

WoS Q DeÄŸeri

N/A

Scopus Q DeÄŸeri

Cilt

99

Sayı

Künye

Dogan, E., Korkmaz, E., Akgungor, A.P. Comparison of different approaches in traffic forecasting models for the D-200 highway in Turkey. Scientific Journal of Silesian University of Technology. Series Transport. 2018, 99, 25-42.