An Artificial Intelligent Approach to Traffic Accident Estimation: Model Development and Application AP Akgüngör, E Doğan Transport 24 (2), 135-142, 2009 | 86 | 2009 |
Forecasting Highway Casualties under The Effect of Railway Development Policy in Turkey Using Artificial Neural Networks E Doğan, AP Akgüngör Neural Computing and Applications 22 (5), 869-877, 2013 | 47 | 2013 |
Estimating Road Accidents of Turkey Based n Regression Analysis and Artificial Neural Network Approach E Doğan, AP Akgüngör Advances in transportation studies 16, 11Y22, 2008 | 43 | 2008 |
Farklı Yöntemler Kullanılarak Geliştirilen Trafik Kaza Tahmin Modelleri ve Analizi AP Akgüngör, E Doğan International Journal of Engineering Research and Development 2 (1), 16-22, 2010 | 38 | 2010 |
An Application of Modified Smeed, Adapted Andreassen and Artificial Neural Network Accident Models to Three Metropolitan Cities of Turkey AP Akgüngör, E Doğan Scientific Research and Essays 4 (9), 906-913, 2009 | 37 | 2009 |
LSTM training set analysis and clustering model development for short-term traffic flow prediction E Doğan Neural Computing and Applications 33 (17), 11175–11188, 2021 | 24 | 2021 |
Estimation of Delay and Vehicle Stops at Signalized Intersections using Artificial Neural Network E Dogan, A Payidar Akgungor, T Arslan Engineering Review: Međunarodni časopis namijenjen publiciranju originalnih …, 2016 | 20 | 2016 |
Optimizing a Fuzzy Logic Traffic Signal Controller via The Differential Evolution Algorithm Under Different Traffic Scenarios E Doğan, AP Akgüngör SIMULATION Transactions of The Society for Modeling and Simulation …, 2016 | 19 | 2016 |
Analysis of The Relationship Between LSTM Network Traffic Flow Prediction Performance and Statistical Characteristics of Standard and Nonstandard Data E Doğan Journal of Forecasting 39 (8), 1213-1228, 2020 | 17 | 2020 |
Smeed ve Andreassen Kaza Modellerinin Türkiye Uygulaması: Farklı Senaryo Analizleri AP AKGÜNGÖR, E DOĞAN Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 23 (4), 2008 | 13 | 2008 |
Robust-LSTM: a novel approach to short-traffic flow prediction based on signal decomposition E Doğan Soft Computing 26 (11), 5227 - 5239, 2022 | 10 | 2022 |
Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set E Doğan Promet - Traffic&Transportation 32 (1), 65-78, 2020 | 10 | 2020 |
Meta-Sezgisel Yöntemlerle Sabit Zamanlı Sinyalize Kavşaklar için Optimum Devre Süresi Modeli AP Akgüngör, Ö Yılmaz, E Korkmaz, E Doğan El-Cezeri Journal of Science and Engineering 6 (2), 259-269, 2019 | 8 | 2019 |
Isolated signalized intersection control by optimized fuzzy logic method E Dogan Kirikkale: Kirikale University, 2014 | 6 | 2014 |
Optimize edilmiş bulanık mantık yöntemi ile izole sinyalize kavşak kontrolü E Doğan Doktora Tezi, Kırıkkale Üniversitesi: 24, 2014 | 6 | 2014 |
Regresyon analizi ve yapay zeka yaklaşımı ile Türkiye ve seçilen bazı büyük illeri için trafik kaza tahmin modelleri E Doğan Kırıkkale Üniversitesi, 2007 | 6 | 2007 |
Analysis and comparison of long short-term memory networks short-term traffic prediction performance E Doğan Scientific Journal of Silesian University of Technology. Series Transport …, 2020 | 3* | 2020 |
Estimation of Car Ownership in Turkey Using Artificial Bee Colony Algorithm E Korkmaz, E Dogan, AP Akgungor Scientific Research Center Ltd Belgrade, 2016 | 3 | 2016 |
Esnek ve Rijit Yol Üst Yapılarında Gürültü Seviyelerinin Eş Zamanlı Ölçümü ve Analizi H Yıldırım, S Açık, AP Akgüngör, E Doğan Pamukkale Üniversitesi Mühendislik Fakültesi, 2014 | 3 | 2014 |
Investigation of Traffic Accidents and Results with Artificial Neural Networks: Kırıkkale Case E Doğan, AP Akgungor The 8. Transportation Congress, 279-287, 2009 | 3* | 2009 |