Yazar "Akgungor, Ali Payidar" için listeleme
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Application of Smeed and Andreassen accident models for Turkey: Various scenario analyses
Akgungor, Ali Payidar; Dogan, Erdem (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 ... -
Comparison of artificial bee colony and flower pollination algorithms in vehicle delay models at signalized intersections
Korkmaz, Ersin; Akgungor, Ali Payidar (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 ... -
Comparison Of Different Approaches In Traffic Forecasting Models For The D-200 Highway In Turkey
Dogan, Erdem; Korkmaz, Ersin; Akgungor, Ali Payidar (Fac Transport Silesian Univ Technology, 2018)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. ... -
Delay estimation models for signalized intersections using differential evolution algorithm
Korkmaz, Ersin; Akgungor, Ali Payidar (Academic Publication Council, 2017)Delay is an important parameter in the optimization of traffic signals and the determination of the level of service (LOS) of a signalized intersection since it directly reflects the lost travel time and fuel consumption. ... -
Estimating The Number Of Traffic Accidents, Injuries And Fatalities In Turkey Using Adaptive Neuro-Fuzzy Inference System
Akgungor, Ali Payidar; Korkmaz, Ersin; Dogan, Erdem (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 ... -
Estimating transportation energy demand in Turkey using the artificial bee colony algorithm
Sonmez, Mustafa; Akgungor, Ali Payidar; Bektas, Salih (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, ... -
Estimation Of Car Ownership In Turkey Using Artificial Bee Colony Algorithm
Korkmaz, Ersin; Dogan, Erdem; Akgungor, Ali Payidar (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 ... -
Estimation of delay and vehicle stops at signalized intersections using artificial neural network
Dogan, Erdem; Akgungor, Ali Payidar; Arslan, Turan (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 ... -
Estimation Of Passenger-Kilometer And Tonne-Kilometer Values For Highway Transportation In Turkey Using The Flower Pollination Algorithm
Korkmaz, Ersin; Akgungor, Ali Payidar (Fac Transport Silesian Univ Technology, 2018)Within the scope of this study, intercity passenger and freight movements in Turkey are estimated by using the flower pollination algorithm (FPA), while demand forecasts are performed on transport systems considering ... -
Flower pollination algorithm approach for the transportation energy demand estimation in Turkey: model development and application
Korkmaz, Ersin; Akgungor, Ali Payidar (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 ... -
Investigating Parameter Interactions with the Factorial Design Method: Webster's Optimal Cycle Length Model
Akgungor, Ali Payidar; Korkmaz, Ersin (Univ Osijek, Tech Fac, 2018)Accurate estimation of cycle length is an important factor in the performance of a signalized intersection. Cycle length is determined by employing some parameters such as arrival flow, number of phase, lost time etc., but ... -
Modelling Weekend Traffic With Weather Conditions Using Various Equation Type And Differential Evolution Algorithm
Dogan, Erdem; Akgungor, Ali Payidar; Korkmaz, Ersin (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 ... -
Optimizing of phase plan, sequence and signal timing based on flower pollination algorithm for signalized intersections
Korkmaz, Ersin; Akgungor, Ali Payidar (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 ... -
Restrained shrinkage cracking of self-consolidating concrete roads
Akgungor, Ali Payidar; Sevim, Ozer; Kalkan, Ilker; Demir, Ilhami (Walter De Gruyter Gmbh, 2018)The present study is dedicated to investigate the liability of continuously reinforced concrete pavement (CRCP) cast with self-consolidating concrete (SCC) to restrained shrinkage cracking and the values of restraint ...
