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Toplam kayıt 4, listelenen: 1-4
Estimating transportation energy demand in Turkey using the artificial bee colony algorithm
(Pergamon-Elsevier Science Ltd, 2017)
In this study, three different mathematical models were proposed to estimate transportation energy demand of Turkey using the artificial bee colony algorithm. In the development of the models, gross domestic product, ...
Flower pollination algorithm approach for the transportation energy demand estimation in Turkey: model development and application
(Taylor & Francis Inc, 2018)
This study proposes a new optimization technique to estimate the Transportation Energy Demand (TED) employing the Flower Pollination Algorithm (FPA). The TED estimation models were developed based on three parameters, which ...
An application of modified Smeed, adapted Andreassen and artificial neural network accident models to three metropolitan cities of Turkey
(Academic Journals, 2009)
Traffic accident prediction models are used for transportation safety studies. This study proposes 2 analytical models and an artificial neural network (ANN) model to estimate the number of deaths resulted from traffic ...
Forecasting highway casualties under the effect of railway development policy in Turkey using artificial neural networks
(Springer, 2013)
This study presents forecast of highway casualties in Turkey using nonlinear multiple regression (NLMR) and artificial neural network (ANN) approaches. Also, the effect of railway development on highway safety using ANN ...