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Toplam kayıt 6, listelenen: 1-6
Application of Smeed and Andreassen accident models for Turkey: Various scenario analyses
(Gazi Univ, Fac Engineering Architecture, 2008)
In this study, accident prediction models for Turkey were developed by using the historical data, between 1986 and 2005, including population (P), the number of vehicles (N), accidents (C), injuries (I), and fatalities ...
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 ...
Modelling Weekend Traffic With Weather Conditions Using Various Equation Type And Differential Evolution Algorithm
(Scientific Research Center Ltd Belgrade, 2016)
In weekends, amount of passenger car traffic is usually higher than weekday because of the activity-based traveling on some highways. Forecasting of this traffic, might help to local authorities to take safety precautions ...
Estimation Of Car Ownership In Turkey Using Artificial Bee Colony Algorithm
(Scientific Research Center Ltd Belgrade, 2016)
This study proposes Artificial Bee Colony (ABC) models to estimate the number of cars in Turkey. In other words, car ownership is defined the number of cars per 1000 people. In the models development, population (P), per ...
Estimating The Number Of Traffic Accidents, Injuries And Fatalities In Turkey Using Adaptive Neuro-Fuzzy Inference System
(Scientific Research Center Ltd Belgrade, 2016)
This study proposes Adaptive Neuro-Fuzzy Inference System (ANFIS) models to estimate the number of accidents, injuries and fatalities in Turkey. In the model development, population (P) and the number of vehicles (N) are ...