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Toplam kayıt 5, listelenen: 1-5
Estimation of delay and vehicle stops at signalized intersections using artificial neural network
(Univ Rijeka, Fac Engineering, 2016)
Delay and number of vehicle stops are important indicators that define the level of service of a signalized intersection. Therefore, they are usually considered for optimizing the traffic signal timing. In this study, ANNs ...
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 ...
Optimizing of phase plan, sequence and signal timing based on flower pollination algorithm for signalized intersections
(SPRINGER, 2020)
The purpose of this study is to develop a control system that optimizes the phase plan, sequence and signal timing using the flower pollination algorithm (FPA). At the same time, it is aimed to improve the fixed-time control ...
Comparison of artificial bee colony and flower pollination algorithms in vehicle delay models at signalized intersections
(SPRINGER LONDON LTD, 2020)
Delay is a significant research topic since it includes indicators such as travel quality, lost time and fuel consumption. Furthermore, the delay is used for optimization of traffic control systems and determination of the ...